3rd international workshop on compressed sensing theory and...

3rd International Workshop on Compressed Sensing Theory

and its Applications to Radar, Sonar and Remote Sensing

16-19 June 2015, Pisa, Italy

3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing • 16-19 June 2015, Pisa, Italy

2

Table of contentsTime Oral Sessions Poster SessionsWednesday, June 1709.00 -10.40 WeML1: Sparse sensing in synthetic aperture

imaging systems11.00 -12.40 WeML2: Signal recovery and detection I15.00 -17.20 WeAL1: Sparse sensing application in radar IThursday, June 1809.00 -10.40 ThML1: Compressive acquisition techniques11.00 -12.40 ThML2: Signal recovery and detection II

15.00 - 17.20

ThP1: Signal recovery and detection IIIThP2: Sparse sensing applications in radar II

Friday, June 19

10.20 -12.20

FrP1: Compressive sensing in SAR, ISAR and TomographyFrP2: DoA estimation and array processing

Program at GlanceTime/Day Tuesday - June 1614.00 - 15.00 Registration15.00 - 16.30 Tutorial (G. Leus)16.30 - 16.45 Coffee break16.45 - 18.15 Tutorial (G. Leus)18.15 - 19.30 Welcome reception19.30 - 24.00 Luminara (free attendance)

Time/Day Wednesday - June 17 Thursday - June 1808.45 - 09.00 Opening09.00 - 10.40 Oral Session WeML1 Oral Session ThML110.40 - 11.00 Coffee break Coffee break11.00 - 12.40 Oral Session WeML2 Oral Session ThML212.40 - 14.00 Luncheon Luncheon14.00 - 15.00 Plenary Talk (M. Amin) Plenary Talk (H. Rauhut)15.00 - 16.00 Oral Session 1/2 WeAL1 Poster Sessions ThP1 and ThP216.00 - 16.20 Coffee break Coffee break16.20 - 17.20 Oral Session 1/2 WeAL1 Poster Sessions ThP1 and ThP217.30 - 20.00 Tour “Piazza dei Miracoli”20.00 - 22.00 Workshop Banquet (see p. 19)

Time/Day Friday - June 1909.00 - 10.00 Plenary Talk (M. Cetin)10.00 - 10.20 Coffee break10.20 - 12.20 Poster Sessions FrP1 and FrP212.20 - 12.30 Closing


3

Welcome to 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote SensingFollowing the success of the previous two editions of the workshop on compressive sensing applied to radar, we are pleased to organize the third one in this series. The 3rd Int. Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa 2015) will be held in Pisa (Italy) on 16-19 June 2015. The aim of CoSeRa is to bring experts of Compressive Sensing (CS) and radar/sonar/EO/IR signal processing and remote sensing together to explore the state-of-the-art in development of CS techniques for different areas of applications and to turn out its advantages or possible drawbacks compared to classical solutions.

Radar/SAR awaits Compressed Sensing

Compressed sensing (CS) techniques offer a mathmatical framework for the detection and allocation of sparse signals with a reduced number of samples. Today, modern radar systems operate with high bandwidths – demanding high sample rates according to the Shannon-Nyquist theorem – and a huge number of single elements for phased array antennas. Often only a small amount of target parameters is the final output, raising the question, whether CS could be a good means to reduce data size, complexity, weight, power consumption and costs of radar systems. The amount of publications addressing the application of CS to radar is still limited, leaving open a number of questions.

Scope

This International Workshop brings together experts of Compressive Sensing to explore the state-of-the-art in development of such techniques in the different nations and for the different applications and to turn out its advantages or possible drawbacks compared to classical solutions. The workshop program includes invited speeches from distinguished experts as well as contributed talks.

The Organizinig Committee


4

Organizing Committee

General Chairs:Fulvio Gini, University of Pisa, [email protected] Ender, Fraunhofer FHR, [email protected]

Technical Program Chairs:Maria Sabrina Greco, University of Pisa, [email protected] Weiß, Fraunhofer FHR, [email protected]

Web Master:Pietro Stinco, University of Pisa, Italy [email protected]

Publications Chair:Stefano Fortunati, University of Pisa, [email protected]

Publicity Chair:Marco Martorella, University of Pisa, Italy [email protected]

Industry Liaison:Alfonso Farina, Consultant, Rome, [email protected]

Scientific committee

Fauzia Ahmad, Villanova University, USA

Moeness Amin, Villanova University, USA

Laura Anitori, TNO The Netherlands

Salman Asif, Rice University, USA

Hossein Azodi, Technische Universität München, Germany

Alessio Bacci, University of Pisa, Italy

Chris Baker, The Ohio State University, USA

Richard Bamler, DLR & TUM, Germany

Fabrizio Berizzi, University of Pisa, Italy

Guo Bin, Northwestern Polytechnical University, USA

Filippo Biondi, University of L’Aquila, Italy

David Blacknell, DSTL, UK

Thomas Blumensath, University of Southampton, UK

Shannon Blunt, University of Kansas, USA

Petros Boufounos, Mitsubishi Electric Research Laboratories, USA

Abdesselam Bouzerdoum, University of Wollongong, Australia

Joe Bruder, GTRI, Gatech, USA

Gerard Capraro, Capraro Technologies, USA

Müjdat Cetin, MIT, USA & Sabanci University, Turkey

Rick Chartrand, A Startup Whose Name Is To Be Announced

Phani Chavali, Monsanto Research, USA

Edison Cristofani, Royal Military Academy, Belgium

Thomas Dan, SRC inc, USAMike Davies, University of Edinburgh, UK

Michael Davis, Georgia Institute of Technology, USA

James Day, LM Syracuse, USA

Antonio De Maio, University of Naples Federico II, Italy

Filippo De Stefani, SELEX ES, Italy

Jacco de Wit, TNO, The Netherlands

Giovanni Del Galdo, Fraunhofer Institute for Integrated Circuits IIS, Germany

Fabio Dell’Acqua, University of Pavia, Italy

Tom Diethe, University College London, UK

Mohammed Nabil El Korso, Paris 10 University, France

Alexander Ens, University of Freiburg, Germany

Emre Ertin, The Ohio State University, USA

Gianfranco Fornaro, CNR-IREA, Italy

Stefano Fortunati, Univeristy of Pisa, Italy

Peter Gerstoft, University of California, San Diego, USA

Fulvio Gini, University of Pisa, Italy

Guillaume Ginolhac, Universite de Savoie, France

Fabio Giovanneschi, Fraunhofer FHR, Germany

Dino Giuli, CNIT - University of Firenze, Italy

Elisa Giusti, University of Pisa, Italy

Scott Goldstein, Dynetics, USA

Maria A. Gonzalez Huici, Fraunhofer FHR, Germany

Raffaele Grasso, CMRE, Italy

Maria Greco, University of Pisa, Italy

Rémi Gribonval, INRIA, France

Yujie Gu, University of Oklahoma, USA

Ali Gurbuz, TOBB University of Economics and Technology, Turkey


5

Braham Himed, AFRL, USA

Franz Hlawatsch, Vienna University of Technology, Austria

Marc Ihle, University of Applied Sciences Karlsruhe, Germany

Tommaso Isernia, University of Reggio Calabria, Italy

Laurent Jacques, University of Louvain, France

Tian Jin, National University of Defense Technology, China

Stephane Kemkemian, Thales Airborne System, France

Ahmed Shaharyar Khwaja, Ryerson University, Canada

Ioannis Kyriakides, University of Nicosia, Cipro

Pascal Larzabal, ENS-Cachan, PARIS, France

Anastasia Lavrenko, Ilmenau University of Technology, Germany

François Le Chevalier, Thales Air Systems, France

Geert Leus, Delft University of Technology, The Netherlands

Dao-jing Li, Institute of Electronics, Chinese Academy of Sciences, China

Jian Li, University of Florida, USA

Qilian Liang, University of Texas at Arlington, USA

Dehong Liu, Mitsubishi Electric Research Laboratories, USA

Otmar Loffeld, Center for Sensorsystems (ZESS), University of Siegen, Germany

Yun Lu, Technische UniversitÃ¤t Dresden, Germany

Marco Martorella, University of Pisa, Italy

James McClellan, Georgia Institute of Technology, USA

Xavier Mestre, CTTC, Italy

Tomer Michaeli, Weizmann Institute of Science, Israel

Jacek Misiurewicz, Warsaw University of Technology, Poland

Ali Mohammad-Djafari, Centre National de la Recherche Scientifique (CNRS), France

Wilbur L. Myrick, Dynetics, USA

Myriam Nouvel, Thales Systemes Aeroportes, France

Karl Erik Olsen, Forsvarets forskningsinstitutt, Norway

Irena Orović, Faculty of Electrical Engineering, University of Montenegro, Montenegro

Riccardo Palamà, University of Pisa, Italy

Ashkan Panahi, Chalmers University of Technology, Sweden

Vishal Patel, University of Maryland, College Park, USA

Nhat Pham, TU Hamburg-Harburg, Germany

Radmila Pribić, Thales Nederland BV Delft, The Netherlands

Holger Rauhut, RWTH Aachen, Germany

Michael Robinson, American University, USA

Florian Roemer, Ilmenau University of Technology, Germany

Philip Schniter, The Ohio State University, USA

Mahesh Shastry, 3M, USA

Konstantinos Slavakis, University of Minnesota, USA

Xiufeng Song, Samsung Electronics, USA

Ljubisa Stankovic, University of Montenegro, Montenegro

Srdjan Stankovic, Faculty of Electrical Engineering, University of Montenegro, Montenegro

Pietro Stinco, University of Pisa, Italy

Andy Stove, Stove Specialties, UK

Gongguo Tang, Colorado School of Mines, USA

Jared Tanner, University of Oxford, UK

Oguzhan Teke, California Institute of Technology, USA

Fok Hing Chi Tivive, University of Wollongong, Australia

Sonia Tomei, University of Pisa, Italy

Wim Van Rossum, TNO, The Netherlands

Kush Varshney, IBM Thomas J. Watson Research Center, USA

Michael Wakin, Colorado School of Mines, USA

Feng Wang, Fudan University, China

Iram Weinstein, SAIC, USA

Matthias Weiß, Fraunhofer FHR, Germany

Fangqing Wen, Nanjing University of Aeronautics and Astronautics, China

Zhaocheng Yang, National University of Defense Technology, China

David M. Zasada, MITRE Corp., USA

Gong Zhang, Nanjing University of Aeronautics and Astronautics, China

Yimin Zhang, Villanova University, USA

Zhe Zhang, Institute of Electronics, Chinese Academy of Sciences, China

Zhilin Zhang, Samsung Research America, USA

Xiao Xiang Zhu, German Aerospace Center (DLR) & Technische Universität München (TUM), Germany

Abdelhak Zoubir, Darmstadt University of Technology, Germany


6

Tutorial

Geert LeusDelft University of Technology, Delft, The NetherlandsCompressive Covariance Sensing for Radar Applications

Location: Sala Conferenze, Polo PiaggeTime: Tuesday, June 16 2015, h. 15.00

Tutorial Motivation and RelevanceThere are many engineering applications that rely on frequency or angular spectrum sensing, such as cognitive radio, radio astronomy, seismic acquisition, and radar, where target detection and the estimation of Doppler frequencies and directions-of-arrival (DoAs) are of interest. Many of these applications do not require the reconstruction of the full signal, and can perfectly rely on an estimate of the frequency or angular power spectral density (PSD), or in other words, the second-order statistics of the signal. However, high temporal and spatial sampling rates are generally required leading to high costs, which can be prevented by a direct compression step carried out in the analog domain (e.g., by means of a modulated wideband converter, multi-coset sampling, analog beamforming, antenna selection, etc.). This leads to the problem of sensing the frequency or angular PSD (or the Doppler frequencies and DoAs of the targets) using compressive observations, labeled as compressive covariance sensing (CCS).

In this tutorial, an overview will be given of the state-of-the-art in CCS as well as the related connections to compressive sensing (CS). The design constraints of the compression matrices will be discussed, which are completely different as in classical CS, and the estimation-detection techniques to sense the covariance using compressive measurements will be presented. In this context, both sparse and dense sampling techniques will be discussed. Also distributed CCS is proposed, where compressive measurements in one domain are fused in the dual domain, i.e., temporal compressive measurements are gathered at different spatial antennas or spatial compressive measurements from different time slots are combined. We end this tutorial by sketching some open issues and presenting the concluding remarks.

Geert Leus received the electrical engineering degree and the PhD degree in applied sciences from the Katholieke Universiteit Leuven, Belgium, in June 1996 and May 2000, respectively. Currently, Geert Leus is an “Antoni van Leeuwenhoek” Full Professor at the Faculty of Electrical Engineering, Mathematics and Computer Science of the Delft University of Technology, The Netherlands. His research interests are in the area of signal


7

processing for communications and networking. Geert Leus received a 2002 IEEE Signal Processing Society Young Author Best Paper Award and a 2005 IEEE Signal Processing Society Best Paper Award. He is a Fellow of the IEEE. Geert Leus was the Chair of the IEEE Signal Processing for Communications and Networking Technical Committee, and an Associate Editor for the IEEE Transactions on Signal Processing, the IEEE Transactions on Wireless Communications, the IEEE Signal Processing Letters, and the EURASIP Journal on Advances in Signal Processing. Currently, he is a Member-at-Large to the Board of Governors of the IEEE Signal Processing Society and a member of the IEEE Sensor Array and Multichannel Technical Committee. He finally serves as the Editor in Chief of the EURASIP Journal on Advances in Signal Processing.

Keynote Speakers

Wednesday, June 17: 14.00 -15.00

Moeness AminVillanova University, USAA Sparsity-Perspective to Time-Frequency Signal Representations

AbstractThis talks considers nonstationary signal analysis in view of the signal sparsity properties. We examine these signals, which arise in numerous applications, within the framework of compressive sensing (CS) and sparse reconstructions. We present two general approaches to incorporate sparsity into time-frequency signal presentation (TFSR). In the first approach, quadratic TF distributions (QTFDs) are derived based on optimal multi-task kernel design. In this case, sparseness in the TF domain presents itself as a new design task, adding to those related auto-term preservation and cross-term suppression. In contrast to QTFDs, we also provide a second approach for signal TF signature estimation where sparse reconstruction is used in lieu of direct Fourier transform that maps the signal from the time or one joint-variable domain to another. It is shown that multiple measurement vector methods and block sparsity techniques play a clear and fundamental role in improving signal local power representations. Examples of both approaches are provided. Analysis is supported by simulations with synthesized data, experiments with real Doppler and microDoppler data measurements of radar returns associated with human motions, and by electromagnetic modeled.

Dr. Moeness Amin is the Director of the Center for Advanced Communications, Villanova University, Pennsylvania, USA. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE); Fellow of the International Society of Optical Engineering; and a Fellow of the Institute of Engineering and Technology (IET), 2010. Dr. Amin is a Recipient of


8

the 2014 IEEE Signal Processing Technical Achievement Award; Recipient of the 2009 Individual Technical Achievement Award from the European Association of Signal Processing; Recipient of the 2010 NATO Scientific Achievement Award; Recipient of the Chief of Naval Research Challenge Award, 2010; Recipient of the IEEE Third Millennium Medal; Recipient of Villanova University Outstanding Faculty Research Award, 1997; and the Recipient of the IEEE Philadelphia Section Award, 1997. He was a Distinguished Lecturer of the IEEE Signal Processing Society, 2003-2004, and is currently the Chair of the Electrical Cluster of the Franklin Institute Committee on Science and the Arts. Dr. Amin has over 700 journal and conference publications in the areas of Wireless Communications, Time-Frequency Analysis, Sensor Array Processing, Waveform Design and Diversity, Interference Cancellation in Broadband Communication Platforms, Satellite Navigations, Target Localization and Tracking, Direction Finding, Channel Diversity and Equalization, Ultrasound Imaging and Radar Signal Processing. He co-authored 18 book chapters and is the Editor of the two books “Through the Wall Radar Imaging” and “Compressive Sensing for Urban Radar,” published by CRC Press in 2011 and 2014, respectively.

Thursday, June 18: 14.00 -15.00

Holger RauhutRWTH Aachen University, GermanyCompressive Sensing in Radar - A Mathematical Overview

AbstractThis talk intends to give an introduction and overview on the mathematical foundations of compressive sensing with particular focus on applications in radar. The key ingredients of compressive sensing are sparsity, efficient algorithms and random matrices. This combination allows to show rigorous recovery guarantees for reconstruction algorithms (such as l1-minimization) and measurement schemes. In most applications including many radar scenarios the matrix modeling the measurement process obeys some structure while compressive sensing guarantees are usually based on random constructions. This leads to the study of various types of structured random matrices. Randomness may in practice be realized by chosing the probing signal, the antenna locations or both at random. The talk will discuss several of such measurement matrices and available recovery guarantees. In particular, we will cover discuss partial random circulant matrices, time-frequency structured random matrices, measurements with random antenna arrays as well as MIMO radar with randomly chosen probing signals.

Holger Rauhut is professor for mathematics at RWTH Aachen University where he is the head of Chair C for Mathematics. He has studied mathematics at the Technical University of Munich from 1996 to 2001, where he also received the doctorate degree in 2004. After a postdoc fellowship at Wroc{\ell}aw University, he joined the Harmonic Analysis Group


9

at the University of Vienna in early 2005, where he was supported from 2006--2008 by an Individual Marie Curie fellowship from the EU. He received the habilitation degree at the University of Vienna in 2008. From 2008--2013 Holger Rauhut was associate professor (Bonn Junior Fellow) at the Hausdorff Center for Mathematics in Bonn. He became full professor at RWTH Aachen University in 2013. His research covers various aspects of the mathematical foundations of compressive sensing, including the analysis of (structured) random matrices and of recovery algorithms. He received the Best Paper Award 2010 of the Journal of Complexity, and a Starting Grant from the European Research Council in 2010. Holger Rauhut served as a coorganizers of a number of workhops and conferences related to compressive sensing and random matrices, in particular, he coorganized the CoSeRa workshops in 2012 and 2013.

Friday, June 19: 09.00 -10.00

Müjdat CetinSabanci University, TurkeySparsity-Driven SAR Imaging: History, Computational Advances, Learning, Other Forms of Simplicity

AbstractIn this talk we first present an overview of several lines of inquiry in which we have been involved and that lie at the intersection of two domains: sparse signal representation and synthetic aperture radar (SAR) image formation. This historical overview contains (i) analysis and synthesis-based sparse signal representation formulations for SAR image formation together with the associated imaging results; (ii) sparsity-based methods for wide-angle SAR imaging and anisotropy characterization; (iii) sparsity-based methods for joint imaging and autofocusing from data with phase errors; (iv) techniques for exploiting sparsity for SAR imaging of scenes containing moving objects, and (v) compressed sensing-based analysis and design of SAR sensing missions. Next, we describe more recent work together with our perspective for future research in this domain. Specific points of discussion and challenges posed will include reducing computational complexity and performing distributed processing, establishing stronger connections between imaging and decision-making, using effective machine learning ideas to tune the notion of sparsity to a particular context, and going beyond sparsity to exploit other forms of simple structures present in the data as well.

Mujdat Cetin is an Associate Professor at Sabanci University, Istanbul, where he currently directs the Signal Processing and Information Systems Laboratory (http://spis.sabanciuniv.edu). From 2001 to 2005, he was with the Laboratory for Information and Decision Systems, MIT. He received the Ph.D. degree from Boston University in 2001. Dr. Cetin has held visiting faculty positions at MIT, Northeastern Univ., and Boston Univ. Dr. Cetin’s research interests lie within the field of statistical signal and image


10

processing, and include image reconstruction and restoration, radar imaging, sparse signal and image representation, biomedical image analysis, shape-based image segmentation, brain-computer interfaces, machine learning, data fusion, sensor array signal processing, and inference in sensor networks. His publications in these areas have received more than 3500 citations so far based on Google Scholar records. Dr. Cetin has received several awards including the 2010 IEEE Signal Processing Society Best Paper Award; the 2007 EURASIP/Elsevier Signal Processing Best Paper Award; the 2013 IET Radar, Sonar and Navigation Premium (Best Paper) Award; the 2008 Turkish Academy of Sciences Distinguished Young Scientist Award; the 2010 METU Mustafa Parlar Foundation Research Incentive Award; and the 2006 TUBITAK Career Award, as well as four conference best paper awards. Dr. Cetin was the Technical Program Co-chair for the International Conference on Information Fusion (FUSION) in 2013; for the International Conference on Pattern Recognition (ICPR) in 2010; and for the IEEE Turkish Conference on Signal Processing, Communications and their Applications in 2006. Dr. Cetin is currently an Associate Editor for the IEEE Transactions on Image Processing. He previously served as an Associate Editor for the IEEE Signal Processing Letters and the IEEE Transactions on Cybernetics; as a Guest Editor for Pattern Recognition Letters; and as an Area Editor for the Journal of Advances in Information Fusion. He is an Associate Member of the IEEE Bioimaging and Signal Processing Technical Committee, and previously served as a member of the International Association for Pattern Recognition (IAPR) Conferences and Meetings Committee, as well as a member of the IAPR ICPR Liaison Committee. Dr. Cetin also serves as a EURASIP Liaison Officer for Turkey and a best paper award jury member for the EURASIP Journal on Advances in Signal Processing.


11

Technical Program

Wednesday, June 17

9:00 AM - 10:40 AM

WeML1: Sparse sensing in synthetic aperture imaging systemsChair: Moeness G. Amin (Villanova University, USA)

An Augmented Lagrangian Method for Autofocused Compressed SAR ImagingAlper Gungor (Middle East Technical University & Aselsan, Turkey); Müjdat Çetin (Sabanci University, Turkey); H. Emre Güven (ASELSAN Inc., Turkey) Gradient Algorithm Based ISAR Image Reconstruction From the Incomplete DatasetMilos Dakovic and Ljubisa Stankovic (University of Montenegro, Montenegro); Srdjan Stankovic (Faculty of Electrical Engineering, University of Montenegro, Montenegro) Multi Scatterer Detection within Tomographic SAR using a Compressive Sensing ApproachMatthias Weiß (Fraunhofer FHR, Germany); Gianfranco Fornaro and Diego Reale (CNR-IREA, Italy) Combined Maximum a posterior and iterative sparse maximum likelihood-based approaches for joint SAR imaging and phase error correctionHabti Abeida (Taif University, Saudi Arabia); Jian Li (University of Florida, USA) Exploiting Group Sparsity in SAR TomographyXiao Xiang Zhu and Nan Ge (German Aerospace Center (DLR), Germany); Muhammad Shahzad (Technische Universität München (TUM), Germany)

11:00 AM - 12:40 PM

WeML2: Signal recovery and detection IChair: Alfonso Farina (Consultant, Italy)

Fiber Sensing Using Wavelength-Swept Lasers: A Compressed Sampling ApproachChristian Weiss and Abdelhak M Zoubir (Darmstadt University of Technology, Germany) Multichannel sparse recovery of complex-valued signals using Huber’s criterionEsa Ollila (Aalto University, Finland) Extensions of sub-Nyquist Radar: Reduced Time-on-Target and Cognitive RadarDeborah Cohen and Alex Dikopoltsev (Technion - Israel Institute of Technology, Israel); Yonina C. Eldar (Technion-Israel Institute of Technology, Israel) A Sub-Nyquist Radar System Based on Optimized Sensing Matrices Derived via Sparse RulersHannes Stahl and Jan Mietzner (Airbus Defence & Space, Germany); Robert F.H. Fischer (Ulm University, Germany)


12

Wall Clutter Mitigation and Target Detection Using Discrete Prolate Spheroidal SequencesZhihui Zhu and Michael Wakin (Colorado School of Mines, USA)

3:00 PM - 5:20 PM

WeAL1: Sparse sensing application in radar IChair: Vito Pascazio (Università di Napoli Parthenope, Italy)

Morphological Component Analysis in SAR Images to Improve the Generalization of ATR SystemsSimon Wagner (Fraunhofer FHR & University of Siegen, Germany) Bayesian sparse estimation of a radar scene with weak and strong targetsMarie Lasserre (University of Toulouse / ISAE, France); Stephanie Bidon and Olivier Besson (ISAE, France); François Le Chevalier (Thales Air Systems & TU Delft, France) Sparse Recovery in MIMO Radar -- Dependence on the Support StructureDominik Dorsch and Holger Rauhut (RWTH Aachen, Germany) CFAR Analysis of the Multicoset-Thresholding Detector: Application to the Low Complexity Sub-Nyquist Radar Electronic SurveillanceMehrdad Yaghoobi (University of Edinburgh, United Kingdom); Bernard Mulgrew (Institute for Digital Communications, The University of Edinburgh, United Kingdom); Andy Stove (Thales, United Kingdom); Mike Davies (University of Edinburgh, United Kingdom) GMTI on short sequences of pulses with compressed sensingLudger Prünte (Fraunhofer-Institut für Hochfrequenzphysik und Radartechnik FHR, Germany) Compressive sensing for in depth focusing in 3D Automotive Imaging RadarGianfranco Matuozzo (Università degli Studi di Napoli Parthenope, Italy); Fabio Baselice (Università degi Studi di Napoli Parthenope, Italy); Giampaolo Ferraioli, Gilda Schirinzi and Vito Pascazio (Università di Napoli Parthenope, Italy)

Thursday, June 18

9:00 AM - 10:40 AM

ThML1: Compressive acquisition techniquesChair: Esa Ollila (Aalto University, Finland)

Randomized Approximations of Operators and their Spectral Decomposition for Diffusion Based Embeddings of Heterogeneous DataWojciech Czaja (University of Maryland, USA); Ariel Hafftka (University of Maryland, College Park, USA); Benjamin Manning (University of Maryland, USA); Daniel Weinberg (University of Maryland, College Park, USA)


13

Ambiguity Function Surface When Using Prior Information in Compressive Sensing and ProcessingIoannis Kyriakides (University of Nicosia, Cyprus) Ultrawideband RF Compressed Sensing Using Spectrally-Encoded Ultrafast Laser PulsesBryan Bosworth, Jasper Stroud, Dung Tran, Trac D. Tran, Sang (Peter) Chin and Mark Foster (Johns Hopkins University, USA) High-dynamic range compressive spectral imaging by adaptive filteringNelson Diaz (Universidad Industrial de Santander, Colombia); Hoover Rueda (University of Delaware, USA); Henry Arguello Fuentes (Universidad Industrial de Santander, Colombia) Through-the-Wall Radar Imaging for Heterogeneous Walls using Compressive SensingEva Lagunas (University of Luxemburg - SnT, Luxemburg); Moeness G. Amin and Fauzia Ahmad (Villanova University, USA)

11:00 AM - 12:40 PM

ThML2: Signal recovery and detection IIChair: Abdelhak M Zoubir (Darmstadt University of Technology, Germany)

Analysis of Sparsity Based Joint SAR Image Reconstruction and Autofocus TechniquesSedat Camlica (Aselsan, Turkey); Ali Cafer Gurbuz (TOBB University of Economics and Technology, Turkey); Orhan Arikan (Bilkent University, Turkey); H. Emre Güven (ASELSAN Inc., Turkey) Sparse DOA estimation with polynomial rootingAngeliki Xenaki (Technical University of Denmark (DTU) & Scripps Institution of Oceanography, University of California San Diego, Denmark); Peter Gerstoft (University of California, San Diego, USA); Efren Fernandez-Grande (Technical University of Denmark (DTU), Denmark) Photonic Compressive Sensing of GHz-band RF SignalsGeorge Sefler, George Valley and Thomas Shaw (The Aerospace Corporation, USA) Antenna-array Design in Compressive-sensing Radar SystemsRadmila Pribic (Thales Nederland BV Delft, The Netherlands); Lorenzo Cifola (Thales Nederland, The Netherlands) Compressed Sensing based Jammer Detection Algorithm for Wide-band Cognitive Radio NetworksMuhammad Ozair Mughal (University of Genova, Italy); Kresimir Dabcevic (University of Genoa, Italy); Lucio Marcenaro (Università degli Studi di Genova, Italy); Carlo S Regazzoni (University of Genoa, Italy)


14

3:00 PM - 5:20 PM

ThP1: Signal recovery and detection IIIChair: Raffaele Grasso (CMRE, Italy)

Density Evolution of Sparse Source SignalsErich Zöchmann (Vienna University of Technology, Austria); Peter Gerstoft (University of California, San Diego, USA); Christoph F. Mecklenbräuker (Vienna University of Technology, Austria) Sparsity-Based Motion Detection Inside Enclosed StructuresFauzia Ahmad and Moeness G. Amin (Villanova University, USA); Giovanni Alli and Gaetano Mollo (IDS Ingegneria Dei Sistemi S.p.A., Italy) Improving Linear Inverse Scattering in Aspect-Limited Configurations: the Intra-Wall Imaging CaseMichele Ambrosanio and Vito Pascazio (Università di Napoli Parthenope, Italy) A Sparse Reduced-Rank Regression Approach for Hyperspectral Image UnmixingParis Giampouras, Athanasios A. Rontogiannis, Konstantinos Koutroumbas and Konstantinos E. Themelis (National Observatory of Athens, Greece) Structure and Rank Awareness for Error and Data Flow Reduction in Phase-Shift-Based ToF Imaging Systems Using Compressive SensingMiguel Heredia Conde (Center for Sensorsystems (ZESS), University of Siegen, Germany); Klaus Hartmann (University of Siegen, Germany); Otmar Loffeld (Center for Sensorsystems (ZESS), University of Siegen, Germany) From weighted Least Squares Estimation to sparse CS ReconstructionOtmar Loffeld (Center for Sensorsystems (ZESS), University of Siegen, Germany); Thomas Espeter (University of Siegen, Germany); Miguel Heredia Conde (Center for Sensorsystems (ZESS), University of Siegen, Germany) Sparsifying Time-Frequency Distributions for Gravitational Wave Data AnalysisPaolo Addesso, Maurizio Longo, Stefano Marano and Vincenzo Matta (University of Salerno, Italy); Innocenzo Pinto and Maria Principe (University of Sannio, Italy) Compressive Sensing for Background Subtraction Based on Error Correction CodingNarendra N, Girish Chandra and B. S. Adiga (Tata Consultancy Services, India) Blind calibration for radio interferometry using convex optimizationSanaz Kazemi (IBM Netherlands, The Netherlands) Dynamic Underwater Sensor Network for Sparse Field EstimationRaffaele Grasso and Paolo Braca (CMRE, Italy); Stefano Fortunati, Fulvio Gini and Maria S. Greco (University of Pisa, Italy)


15

ThP2: Sparse sensing applications in radar IIChair: Alessandra Budillon (University of Naples Parthenope, Italy)

Extract before Detect, Coherent Extraction based on Gridless Compressed SensingGuy Desodt (Thales Air Systems & Thales group, France); Claude Adnet, Aurélie Martin and Richard Castaing (Thales Air Systems, France) Velocity False Target Identification in Random Pulse Initial Phase Radar Based on Compressed SensingJinping Sui and Zhen Liu (National University of Defense Technology, P.R. China); Xizhang Wei (ISchool of Electronic Science and Engineering NUDT, P.R. China); Xiang Li, Peng Bo and Dongping Liao (National University of Defense Technology, P.R. China) Sinusoidal Frequency Modulation Sparse Recovery for Radar micro-Doppler AnalysisPeng Bo and Zhen Liu (National University of Defense Technology, P.R. China); Xizhang Wei (ISchool of Electronic Science and Engineering NUDT, P.R. China); Xiang Li and Dongping Liao (National University of Defense Technology, P.R. China) Compressive Sensing in MTI ProcessingEhsan Tohidi, Mojtaba Radmard, Sayyed Mohammad Karbasi, Hamid Behroozi and Mohammad Mahdi Nayebi (Sharif University of Technology, Iran) An Active Divide-and-Conquer Algorithm for Sparse Recovery Support: Fluctuating Targets CaseMarco La Manna and Daniel Fuhrmann (Michigan Technological University, USA) Anti-jamming Range Imaging Using Slope-Varying LFM Signal Based on Compressed Sensing Yang Hongyan and Zhen Liu (National University of Defense Technology, P.R. China); Xizhang Wei (ISchool of Electronic Science and Engineering NUDT, P.R. China); Dongping Liao and Peng Bo (National University of Defense Technology, P.R. China) Compressed Sensing Radar - New Concepts of Incoherent Continuous Wave TransmissionsFilippo Biondi (University of L’Aquila & Italian Ministry of Defence, Italy) Detection of Marine Target with Quadratic Modulated Frequency Micromotion Signature via Morphological Component AnalysisYonghua Xue, Xiaolong Chen, Yunlong Dong and Jian Guan (Naval Aeronautical and Astronautical University, P.R. China)


16

Friday, June 19

10:20 AM - 12:20 PM

FrP1: Compressive sensing in SAR, ISAR and TomographyChair: Müjdat Çetin (Sabancı University, Turkey)

Room: Poster Area

Testing Polarimetric SAR Tomography by Continuous Wave Radar and Compressed Sensing For Under soil Hidden Coherent TargetsFilippo Biondi (University of L’Aquila & Italian Ministry of Defence, Italy); Antonio Sarri (IDS - Ingegneria Dei Sistemi S.p.A, Italy); Luca Fiori (IDS Ingegneria dei Sistemi SpA, Italy); Kevin Dell’Omodarme (IDS, Italy) WASAR Imaging based on message passing with structured sparse constraint: approach and experimentChenglong Jiang, Yun Lin and Zhe Zhang (Institute of Electronics, Chinese Academy of Sciences, P.R. China); Bingchen Zhang (Institute of Electronics, Chinese Academy of Scinece, P.R. China); Wen Hong (National Key Laboratory of Microwave imaging Technology & Institute of Electronics, Chinese Academy of Scienecs, P.R. China) Compressive Support Detection in SAR TomographyAlessandra Budillon (University of Naples Parthenope, Italy); Gilda Schirinzi (Università di Napoli Parthenope, Italy) Time-Slotted FMCW MIMO ISAR with Compressive Sensing Image ReconstructionAlessio Bacci, Elisa Giusti, Sonia Tomei, Marco Martorella and Fabrizio Berizzi (University of Pisa, Italy) SAR Imaging With Noise Waveform and Low Sampling Rate Based on Sparse OptimizationXiao Dong, Yunhua Zhang and Wenshuai Zhai (Center for Space Science and Applied Research, Chinese Academy of Sciences, P.R. China); Xiang Gu (Center for Space Science and Applied Research, Chinese Academy of Sciences & Department of Electrical Engineering, The Pennsylvania State University, P.R. China); Xiaojin Shi (Center for Space Science and Applied Research, Chinese Academy of Sciences, P.R. China) Compressive Sensing for RADARSAT-2 TomographyDavid Kirkland (Defence Research and Development Canada, Canada) High Resolution Radar Imaging of Fast Rotating Targets Based on Wideband RadarZhen Liu (National University of Defense Technology, P.R. China); Xizhang Wei (ISchool of Electronic Science and Engineering NUDT, P.R. China); Peng Bo, Dongping Liao and Xiang Li (National University of Defense Technology, P.R. China) Low-rank Sparse Matrix Decomposition for Sparsity-driven SAR Image ReconstructionAbdurrahim Soğanli and Müjdat Çetin (Sabanci University, Turkey)


17

FrP2: DoA estimation and array processingChair: Vincenzo Matta (University of Salerno, Italy)

Accurate Source Number Detecti on for Low-Cost Nested ArrayKoichi Ichige and Keita Yamada (Yokohama National University, Japan) Nested Array With Time-Delayers for Target Range and Angle EstimationWen-Qin Wang and Cong Ling (Imperial College London, United Kingdom) Sparse Reconstruction Based Frequency Diverse Array Transmit Beampattern SynthesisHui Chen and Huai-zong Shao (University of Electronic Science and Technology of China, P.R. China); Wen-Qin Wang (Imperial College London, United Kingdom) Sparsity Based Space-Time Adaptive Processing Using Message Passing Zeqiang Ma (Tsinghua University, Beijing, P.R. China); Yimin Liu and Xiqin Wang (Tsinghua University, P.R. China) Compressed Time Difference of Arrival Based Emitter LocalizationJohannes Schmitz (RWTH Aachen University, Germany); Dominik Dorsch (RWTH Aachen, Germany); Rudolf Mathar (RWTH Aachen University, Germany) High Resolution Direction-Of-Arrivals using Extended Multipath Matching PursuitYongsung Park and Woojae Seong (Seoul National University, Korea) DoA Estimation with Reflectarray According to Single Pixel Camera PrincipleSergii Skoblikov (TU Ilmenau, Germany); Mohamed Ibrahim (Technische Universität Ilmenau, Germany); Florian Roemer and Reiner S. Thomä (Ilmenau University of Technology, Germany); Giovanni Del Galdo (Fraunhofer Institute for Integrated Circuits IIS & Technische Universität Ilmenau, Germany) Direct Estimation of Time Difference of Arrival from Compressive Sensing MeasurementsY. t. Chan (Royal Military College of Canada, Canada); Francois Chan (Royal Military College, Canada); Sreeraman Rajan (Defence Research and Development Canada-Ottawa, Canada); Bernard Haynes Lee (Royal Military College of Canada, Canada)


18

Luminara of San RanieriAn important part of the festivities for San Ranieri in Pisa is the beautiful Luminara which takes place on the evening of June 16, the eve of the patron saint’s feast day. The other big part of the celebration is the Regata of San Ranieri which takes place in the late afternoon on the actual feast day, June 17. The tradition of lighting the city with candles dates back to 1688. In that year, the urn containing the remains of Saint Ranieri was placed in the Cappella dell’Incoronata in the cathedral, which is now dedicated to him. Cosimo III of the Medici wanted the antique urn that contained the saint’s remains to be substituted with a more sumptuous and modern urn. The change was occassion for a memorable city feast and according to tradition, the Luminara, or “illumination” as it was called back then, was born. The event has been held every year since then except for a few interruptions. Bonfires and candles to light up the city were used even before then as a way to celebrate a special event, such as that to celebrate the visit to the city of Margherita Luisa, princess of Orleans and wife to Cosimo II in 1662. Today the celebration has taken a specific form: the architectural details of the palaces, churches, towers and bridges along the Arno (windows, cornices, balconies) are recreated with white wooden frames. These frames are fitted onto the buildings and on these frames candles are attached and lit after sunset. Over 70,000 “lumini” (how candles are called in Italian when they are inside a container, glass in this case) burn and reflect on the river. Some candles are also floated on the waters of the Arno. The city along the lungarno simply glows. The only additional areas in the city lit up aside from those along the river are the battlements on the section of city walls that surround Piazza dei Miracoli and the Leaning Tower itself, where oil lamps show off the tower’s shape. Around 11 p.m. a fireworks show from the Cittadella Vecchia (old citadel) can be best enjoyed from along the river. A word of warning: the city streets can get very crowded, most of the university students are out enjoying themselves adding a bit to the confusion. We found taking side streets away from the main Corso Italia and Piazza Garibaldi/Borgo Stretto to be a good idea to avoid getting crushed in the crowds.


19

General InformationVenuePolo Piagge • Via Giacomo Matteotti, 3 • Pisa • Italy

On site registrationRegular fee: € 550,00 + VATStudent fee: € 200,00 + VAT

Regular and student registrations include• All conference technical sessions• 1 copy of proceedings on electronic media (delivered on site)• Coffee-breaks• Buffet lunches (Wednesday, June 17, and Thursday, June 18)• Welcome Reception (Tuesday, June 16)• Guided visit of Piazza dei Miracoli and Banquet (Wednesday, June 17)The registration desk will be open during programme hours.

Social EventJune 17, 2015 - “Square of Miracles” TourThe Piazza dei Miracoli or “Square of Miracles”, formally known as Piazza del Duomo or “Cathedral Square”, is a wide walled area located in Pisa, recognized as an important center of European medieval art and one of the finest architectural complexes in the world. It was declared a UNESCO World Heritage Site in 1987. Meet the guide and after a brief introduction enjoy a delighting walk around its beautiful buildings which emerge as “miracles” from the green meadow: the Cathedral (inside visit), a triumph of the Pisan Romanesque style, the Baptistery (inside visit), enobled by Nicola Pisano’s pulpit and with fabulous acoustics, the Monumental Cemetery (Graveyard) with beautiful Roman sarcophagi and XIV-XV century frescoes and the celebrated Leaning Tower, one of the wonders of the world! Conference banquet: 8:00 pm At the end of the tour proceed your evening with a dinner at a local restaurant, “Il Turista”, located a few meters from the Leaning Tower, where you will taste typical Tuscany cuisine in a cosy atmosphere. (Piazza Arcivescovado, 17 - Pisa)Pick up point / time: departure by bus from “Polo Piagge” at 5.30 pm**For those who prefer to reach the “Square of Miracles” on their own the meeting point is under the Leaning Tower at 5.45 pm. A guide will wait carrying a signboard displaying the name of the Congress.Please notice that the transfer by bus to the hotels after the dinner will be provided only to participants staying in hotels out of the city walls.

Organizing Secretariat

D.G.M.P. srlVia A. Gozzini, 4 • 56121 Pisa • ItalyPhone: +39 050 989310 • Fax: +39 050 981264 • Email: [email protected]

www.physisgrafica.com

Venue: Polo Piagge Via Giacomo Matteotti, 3

Square of Miracles

Restaurant “Il Turista”

Airport

PISA Central Train Station

Technical co-Sponsors:

3rd international workshop on compressed sensing theory and...

Documents