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The AquaQUIPS Data Fusion Engine

Wide Area Persistent Surveillance using Multi‐INT DataWorld MDA Center

Wide Area Persistent Surveillance using Multi INT Data Fusion of National, Tactical, and UAS Sensors

Presentation to UAS SymposiumPresentation to UAS SymposiumSan Diego 10-11 September 2014

Dr. Jim Wilson/ Mr. Joe AntonoffTh A Q IPS T

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The AquaQuIPS Team(949) 366-6554

Updated Presentation Outline14 April 2003/10 August 2014

• The SPAWAR Technology Transition and C4ISR Advisory Team

•Summary of the AquaQuIPS (AQ) Data Fusion Processor

• Summary of AQ Results from Trident Warrior (TW) 08, 09, 10, and 12

• Ongoing Objective: Add Link 16, all possible radars, and new UAS sensor sources.

• Current and Future ProgressCu e t a d utu e og ess

• Conclusions and Recommendations

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The SPAWAR Technology Transition and C4ISR Advisory Teamy

• Mr. John Evans: SPAWAR Systems Center – Pacific : COR and yClassified Lab Manager for the AQ Data Fusion Processor and for Ghost Machine Andrea (GMA)

• Mr. William Kordela: SPAWAR HQ Code 05 - AQ Technology Transition Manager

• Mr. Raymond Held: TA Fn for ISR/IO/METOC/CYBER/SPACE

• Mr John Thom: SPAWAR SBIR Deputy Program Manager• Mr. John Thom: SPAWAR SBIR Deputy Program Manager

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AQ Detection, and Classification Tracking of EMCON Silent, or “Dark” Contacts

• Dark Contacts cannot be detected by data fusing AQ “passive” or radiating sensors alone

• Dark Contacts cannot be detected by data fusing “active” radar sensors from Battle Groups, manned air platforms, national sensors or Unmanned Aerial Systems (UAS) alonesensors or Unmanned Aerial Systems (UAS) alone

• Dark Contacts can be detected, ytacked, and classified/identified in near real time by data fusing both AQ passive and active y g Q p(mostly radar and EO/IR) sensors in a single processor

• Radar only AQ tracks are, by definition, potential threats worthy of f t l ifi ti /id tifi ti b t ti l fi htfuture caslassification/identification by tactical warfighters

• UAS sensors are critical for this mission

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AquaQuIPS Data Fusion Processor at SPAWAR HQ to Detect and Track Surface Ship Threats: “Fly on Top of the UDOTS”Ship Threats: Fly on Top of the UDOTS

Where are the Uncorrelated Dots on the

Screen (UDOTS)?National Sensors that AQ is capable of ingesting atthe AQ Shore Data Fusion Processor (AQSDFP) Site Local/tactical sensors that AQ can

Global ELINTTracker (GET)

MaritimeAwareness

Global Network(MAGnet)

GCCS-MPl tf

SurfaceSearchRadar

SonobuoyTracksD

ark

Ship

Tra

cksMIFCS

Tracks

NGAW IEagle Vision

ingest at the AQ SubordinateCommand Data Fusion Processor Site

IBSSO SIGINTSensor Track

Data #1

PlatformTracks

CommercialSAR Tracks

MillimeterRadar (MMR)

Tracks

Local ELINT

PCGS Tracks(Commo Freqs)

Acoustic

AquaQuIPSGlobalFeeds

LocalFeeds

Sea MistNTM

Sensors

Warp ImageryVia Rapier

gRADARSAT

IBSSO SIGINTSensor Track

Data #2

MSSISAIS

Tracks

Local ELINTReceiver

AcousticSensors

LANCELOT OP

olla

ble

ors MONGOOSE

Global USNAIS Tracks

Visual ShipTracksUSCG HUMINTLANCELOT

Feeds DC

OC

ontr

oSe

ns

UASSIGINT

UASCOMINT

UASI

UASAIS T k

UASSAR & ISAR

AISTracks

U NAnd

Open Source

Contact identificationor classification is the

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SIGINTCOMINT Imagery AIS TracksSAR & ISAR

AQ “vectors” the UAS to “Fly on Top of UDOTS

or classification is theAQ UAS mission

Green – UNCLASRed - SECRET

ELINTELINTTAB 37 GET AquaQuIPS Data

Fusion Engine for Passive Sensors

MIFC. PlatformTracks

PlatformTracks

MAGNet

- vessel name/MMSI #- meta data- radar parameters- MMSI look up table- ship name correlation - track bifurcationMAGNet

TracksMAGNetUSCG ONI

attributesSIGINT SIGINT #1

- ambiguous tracks- outlier points- track merit score- geofeasibility levels- multi-hypothesis

TW 09 Add

Local AIS

SIGINT #1 and #2

IBSSO

Local AISTrusted

SIGINT #1&2 Tracks

SM, NCCT and New AQ Active and Passive Sensors Will Be Input

TW-09 Adds New Sensors

TW 08 A Q IPS P f D t F i f Fi N ti l S d

Tracks TracksGateway System

Sensors Will Be InputTo AQ Data Fusion Engine for TW-09

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TW-08 AquaQuIPS Processor for Data Fusion of Five National Sensors and AIS at the THIRDFLT MOC and Fleet METOC Advanced Concept Lab (FMACL)

Data Fusion of AQ and Sea Mist (TS/SCI) Sensors to Detect Large Dark Contacts

Sensor #1 Exploiter #1 Intel

SM NATIONAL SENSORS

Sensor #2 Exploiter #2LinkBlog AQ Tactical Sensors

TacticalSensor #3

Sensor #4

Exploiter #3

Exploiter #4

SMMulti INTAnalysis

ONI

SiprnetAQ

TacticalUser

THIRDSensor #4

Sensor #N

Exploiter #4

Exploiter #N

ONI FleetOr

OtherOther

ActionMessage Format

Data RepositoryLocal AISSensor Data

Siprnet: ATLS, ONI/SM, AQNiprnet (Unclass Email): ATLS, ONI/SM, AQ

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g1) OTH Gold2) Sensor Rep3) Locator

Sensor DataExploitersVideo

1) The main interaction between AQ and SM occurs by phone or siprnet2) The specific actions by AQ watch standers will involve using theMTST Tool on GCCS-M

AQ UAS Fly on Top CONOPS

• AQ UAS, national sensor, and local “radar only” tracks after fusion with AQ’s radiating tracks are gpotential threats worthy of further classification.

• AQ’s UAS Fly on Top CONOPS critical for identifying and/or classifying “dark” contacts ofidentifying and/or classifying dark contacts of interest (COIs)

• For a contact suddenly going dark, the last position and TOI is used by AQ to forecast a position for a future time specified for a UAS Fly on Top.

AQ forecasted track and AOU (TW-08 and 09)

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AQ Track before COI goes Dark AQ Dark Target Detection AQ Track after COI ends Darkness

The AQ Data Fusion Architecture

MISMADFACT Data Fusion ArchitechtureRequest to Interdict or

Neutralize Threat

Operator with Intelligent Sensor Management

MISMADFACT ModuleCourses of Action Selection

Throat Detection & Classification

AQ, TQ, or SQData Fusion Engine

With Feedback Loop andSoft Data Input

Soft Data Input

Sensor Adaptor and Single Sensor Tracker

With Meta Data

PIMPIM

PIMPIM

Common Data Format \On PIM Out Put

Legend:PIM = PlatformI t f M d lPIMPIM

NationalSensors

Airborne and MobileGround and Sea SensorsRoute Change Capability

Airborne and MobileGround/Sea Sensors

Fixed Routes

Fixed Ground Sensors

Interface Module

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Summary of AQ Results from Trident Warrior 08, 09, 10, and 12, , ,

• AquaQuIPS (AQ) Trident Warrior (TW) results:AquaQuIPS (AQ) Trident Warrior (TW) results:-TW-08 – detect large, dark, uncooperative vessels in the open ocean using AQ’s Sea Mist TS/SCI sensors

-TW-09 – detect large, dark, uncooperative, vessel in crowded coastal shipping using AQ’s Sea Mist TS/SCI sensors

TW 10 d ll d k SPSS i UAS d f h d-TW-10 – detect small, dark SPSS contacts using UAS and surface search radars

-TW-12 – Fly on Top Operation (FoTO) to positively classify weak,dark contacts of interest using UAS SAR sensors in real time.dark contacts of interest using UAS SAR sensors in real time.

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AQ Vectors in King Air in a Typical Fly on Top Operation (FoTO)

Sequence of CONOPS to Detect a Small Dark Contact1. AQ gets a “sniff” of a contact from a CommsIntercept Hit (PC) and a USCG radar hit (RD)

3. King Air “Fly onTop”Initial Image

Intercept Hit (PC) and a USCG radar hit (RD)2. AQ passes DRed LAT/LONG and TOI to CLAW

DR Posit Vector

4. Final Image classified as Echo – fishing boatas Echo – fishing boat

AQ Track Label: “Q” means AQ track“RD” means USCG radar hit“PC” is comms intercept

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PC is comms intercept

AQ Single Hit “Sniff” on 12 July 2012 resultedin positive identification of ship type,

but unknown ship namebut unknown ship name

• Fast Boats like this one are

i l hpotential threats worldwide

• There is no WMD or Contraband visible on deck

• Fast Boats like• Fast Boats like this should be kept at a minimum standoff range from BG assetsfrom BG assets, whether at sea or in port (e.g., USS Cole)

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LYNX SAR Area SearchLYNX SAR Image of 10 nm. by 15nm. Kill Box west of approachesto San Diego Bay Showing 22 contacts while AQ detected 12 tracksg y g

Single small ship

Large ship

Several small ships

Single small ship

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Examples of Ships Detected in an Area Search

Protecting the USS Protecting USS OldendorfDR Posit Vector Protecting USS OldendorfWas the scenario for the

area searchAQ GCCS-M display showing Oldendorf’s time late (~ 35 min) position and trackposition and track

What is the classification of the second ship?p

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HMCS Brandon on high speedourse to the south

Gemini Voyager was detected by AQ only on SIGINT #1 on SECRET processor

Very small and dark vessels were detected at night by AQ using UAS sensors

Examples of numerous small craft detected, tracked, an classified

Sail boat towing a dingywest of SCI

Small LYNX SAR hits at 11K feet altitude classified

west of SCI

Typical fishing boat from 11K feet altitude. If thiswere a possible PANGA

Sailboats rendezvousing withother pleasure craft at night both should be tracked untilaltitude classified

with the IR sensor at 1236 feet altitude.Small sailboat

were a possible PANGA, decent to ~ 1200 feet would provide positive classification.

both should be tracked until Intent is clear.

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northwest of SCI

CONOPS Demonstrated During TW-8,9,10, &12 to Support Battle Group OPS

• BG tactical sensors (radar, AIS, etc) and

AQ Seamless Ship Tracking CapabilityDR( , , )

AQ perform well in the “Blue Zone”

• BG tactical sensors

Transition Zone

RADAR andLocal AIS DetectionX

CalifornianHighway X Lose Tactical BG Detection

L l

MaintainNationalSensorTrack

National Sensor (Global)Coverage Only

DR

Dark Target

• BG tactical sensors are marginal in the “Yellow Zone”, but AQ performs well on national sensors SS China Express

DDG1 XLocal

AIS DDG2 X

CVN X

Local

AISX CG X DD BG Helo

Fly on China

XDR

X Xnational sensors.

• BG sensors are “blind” in the “White ETA at LAT X and LON Y

for BG Initial Detection

SS China ExpressETA LAT W LON Zfor Initial BG TacticalSensor Detection

ETA LAT A LON B

X Initial DetectionBy BG Tactical Sensors

Fly on ChinaExpress

SS HornblowerX

DR

Zone” where AQ’s National Sensor fusion performs well

for BG Initial Detection

National Sensors Only

for Initial BGTactical Sensor Detection National Sensor

Coverage Only

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14

UAS sensors critically needed to positively classify AQ contacts of interest and “sniffs” in the White Zone heading toward the BG long BEFORE they arrive

Future Exercise Objectives: Add Link 16, All Possible Radars, and New UAS Sensor Sources

• LINK 16 has been an especially difficult sensor source to input to the data fusion processordata fusion processor

- NAVSEA IWS 6 and APL/JHU have been difficult to convince (ref: Dave Ayers NAWC)- LINK 16 is absolutely critical to lighting up dark contacts- ADM Kraft FFC and PACOM will be government advocates for inputting LINK 16 to AQ during future experiment or exerciseduring future experiment or exercise

• PACOM (Science Advisor and others) recommend inputting coastal OTH radar tracks to AQ during future experiment or exercise

PACOM i ki ith th Phili i C t l W t h d th C liti P t-PACOM is now working with the Philippine Coastal Watch and other Coalition Partners in the East and South China Sea area to access coastal OTH radars- Organic BG radars and OTH coastal radars need to be data fused by AQ to enhance wide area persistent surveillance (WAPS) in strategic areas of interest

• UAS SAR and EO/IR sensors enhance the WAPS data fusion mission-AQ and General Atomics are excellent team mates from TW-10 and 12, and could add new sensors (e.g., ELINT, AIS, etc.) sources for future experiment or exercise

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- AQ’s other potential UAS sensor sources include BAT 12/NG, FURY/LMCO, and Scan Eagle/Boeing

Current Potential AQ Operational Tasks• AQ undergoing a DCGS-N Increment II review directed by CAPT Scott Heller and

executed by Raymond Held

• AQ BAMS D Data Fusion for the Persian Gulf to Identify Dark Contacts (SPAWAR/MrAQ BAMS D Data Fusion for the Persian Gulf to Identify Dark Contacts (SPAWAR/Mr. John Evans to supply AQ data fusion)

- DHOWs, fast boats, Iranian naval combatants, and other dark contacts we don’t know about yet

- AQ’s “passive sensors” allow easy bifurcation of total tracks into radiating tracks and dark contacts- SSC-P (Mr. Carl Gibbens and Joe Mantione) have the real time TAGS BAMS D feed in Bldg 33

• The AQ AquaFence to Detect and Track PANGAs coming from Northern Baja to SOCAL (SPAWAR/Mr. John Evans to supply AQ data fusion)

- General Atomics has agreed to contribute $100K of their IR&D funds to Fly on Top of potential PANGAs at night using TW-12 sensorsSPAWAR ill h f d d SBIR Ph II 5 if i j- SPAWAR will match funds under SBIR Phase II.5 if it approves project

- Senator Feinstein set up meeting with DHS Assistant Commissioner Mark S. Borkowski and staff, and DHS is reviewing a $200K AQproposal currently

- ADM Steve Metruck USCG Comptroller is a strong AQ advocate in USCG from his San Diego Sector Commander days (2002-2003)

• Two Way Sensor Adaptor between AQ and the Air Force Network centric Collaborative• Two Way Sensor Adaptor between AQ and the Air Force Network centric Collaborative Targeting (NCCT) being written by JOVE currently under SPAWAR (Mr. John Evans) sponsorship- when completed the Air Forces Rivet Joint, JSTARS, Senior Scout, Compass Call, Navy P-3s, and Navy E2c sensor sources will be

available to AQ worldwide

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available to AQ worldwide- AQ and L-3Com (NCCT Prime) to submit proposal to Mr. Walter ward NCCT PM for demonstration of AQ and Air Force sensor sources

Conclusions and RecommendationsConclusions:

– AQ produces very accurate ship tracks in real time and has ~ 8 times as many tracks as current Fleet capabilitytracks as current Fleet capability

– AQ has successfully added a UAS surrogate platform in near real time with EO, IR, and SAR sensor inputs

– AQ can vector a UAS sensor platform to Fly on Top of weak contacts (“sniffs”) f id i t f ti l d id iti l ifi ti AQ ithfrom a wide variety of national sensors and provide positive classification. AQ with UAS sensors has ~ 18 times as many contacts as current Fleet Capability

– AQ can detect, track, and classify EMCON Silent (“dark”) contacts for a wide variety of surface ship (and ASW) threats worldwide

– AQ has the potential of providing Wide Area, Persistent Surveillance (WAPS) to Battle Groups or areas of strategic interest worldwide

Recommendation: Fund the SPAWAR SBIR Phase II.5 Proposal toi t d d th tiinput radar and other active sensors

– add ALL BG, land based and UAS radar/EO/IR to AQ as near real time inputs. Add acoustic line of bearing inputs to AQ’s DFP

– add Air Force radar/active sensor data (e.g., JSTARS, Rivet Joint, etc.) via NCCT

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add o ce ada /ac e se so da a (e g , JS S, e Jo , e c ) a CC– Design and develop a DCGS-N II AQ Technology Transition Plan (TTP)

Backup Viewgraphs

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Navy’s Independent Assessments of AquaQuIPS (AQ) Performance in Trident Warrior Exercises

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Navy’s Independent Assessments of AquaQuIPS Performance in Trident Warrior Exercises

• Trident Warrior 08: MUA received by AQ signed by VADM Starling“All, we received the signed MUA....Intel and IO set the bar for MUA recommendations...BASES, AQUIPS, SEAMIST SEI and HITS topped the list Both BASES and AQUIPS/SEAMIST have been recommendedSEAMIST, SEI and HITS topped the list. Both BASES and AQUIPS/SEAMIST have been recommended for fielding, within POR, and HITS is already wide-spread across the country. Great job to all, and truly appreciate everyone's efforts to put INTEL/IO at the top of the pile. It was a pleasure working with you all, and somewhat miss the experimentation world. “ Dave Ayers COMNAVWARCOM

• Trident Warrior 09: Trident Warrior 09 Assessment Report• Trident Warrior 09: Trident Warrior 09 Assessment Report“Assessment Question: Does AQ/SM improve performance of sensor fusion and management of fusion products?Assessment Answer Yes. AQ provides a dramatic increase in situational awareness and clarity for

t h t d h d ith i t i i iti i t AQ h d t t l h ldi ti f thwatchstanders charged with maintaining a maritime picture. AQ had a total holding time for the non-cooperative contact of nearly 100 % during bright periods, while all three operational COPS used had a ZERO % holding time. The difference is attributed (by the SME) to AQ’s Global ELINT Tracker (GET), and AQ’s data fusion engine that fused AQ’s ELINT tracks with AQ’s Maritime Awareness Global network (MAGnet) tracks when they were available. On all four days, a comparison was made between the ship ( ) y y p pcount over the same geographic area of an AQ produced COP (QCOP) vs. the operational GCCS produced COP. Typically, the QCOP had 1100 non-ELINT ship tracks and 1300 ELINT only tracks, on the average, compared to only 220 operational COP tracks and therefore there were approximately 5 times more AQ tracks with ship names and/or MMSI numbers than Blue COP tracks, a dramatic increase in situational awareness and clarity ”

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awareness and clarity.

Assessor Recommendation Need ASAP

Navy’s Independent Assessments of AquaQuIPS Performance in Trident Warrior Exercises (con’t)

• Trident Warrior 10: Trident Warrior 10 Assessment Report “Assessment Recommendation: PEO C4I PMW 150 review results and incorporateAssessment Recommendation: PEO C4I PMW 150 review results and incorporate this capability into GCCS and/or next generation GCCS POR. MIFCPAC analysts impressed with results. Recommend NMAWC and USCG acquisition community review results.

• Trident Warrior 12: Assessment report not published yet, butAQ demonstrated a seamless, near real time multi way communications link among National sensor contacts of high interest, tactical sensor tracks (radar, AIS, commsintercept etc ) and UAS sensors to “Fly on Top” of the contact of interest for positiveintercept, etc.) , and UAS sensors to Fly on Top of the contact of interest for positive classification. The initial TW-12 press release said in part:

“Integrated aboard a Predator B® RPA surrogate (a King Air 200), Lynx MWAS demonstrated its ability to detect and image very small vessels, including fast boats, sail boats, and fishing boats. y g y , g , , gGA-ASI’s Claw® sensor payload operator control software cued Lynx to targets in coordination (ibsso_wipuc@nsa.gov) with the Navy’s AquaQuIPS multi-INT, ship track data fusion engine developed by Jove Sciences, Inc. (JOVE). AquaQuIPS generated a Common Operational Picture (COP) by utilizing intelligence retrieved from multiple systems, including Claw.”

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Two Major Recommendations from PMW-120 in the 14 April 2013 Meetingp g

• Assess the AQ capacity- Processing improvements made to the AQ single node GCCS-M

processor in Lab 214processor in Lab 214- Arrival of the 576 core Ghost Machine Andrea (GMA) at SSC-P with

supervision from Mr. John Evans SSC-P- Funding of SBIR Phase II from ONR to integrate AQ onto GMA usingFunding of SBIR Phase II from ONR to integrate AQ onto GMA using

advanced distributed processing software from MapR- CRADA application for developing AQ on GMA using previous Sea Mist

(TW-08 and 09) TS/SCI sensor inputs to detect and track dark contacts

• Suggest Possible AQ Big Decks, Small Decks, and Shore Data Fusion Modules for DCGS-N Increment II

Shore Fusion AQ Module is a subset of GMA tracking ships worldwide as- Shore Fusion AQ Module is a subset of GMA tracking ships worldwide as a single Area of Interest (AOI)

- Big Decks AQ Fusion Module must input Battle Group (BG) radar tracks from Link 16 and other surface search radars, as well as UAS sensor data

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,- Small Decks AQ Fusion Module must input available radar , UAS, and

local AIS tracks

Processing improvements made to the AQ single node GCCS-M processor in Lab 214

Much progress above and beyond the completion of this task has been made- the AQ data fusion engine on GCCS-M has been made much more efficient and and three

Areas of Interest (AOIs) have been run in real time by AQ to collect processing metricsAreas of Interest (AOIs) have been run in real time by AQ to collect processing metrics1.SOCAL AOI :32° N by 34.5°N and 116.5°W by 120°, and an average of 1800 tracks were maintained in real time 2. Persian Gulf AOI: is 20° N by 30.5°N and 47°E by 63°E, and an average of 1700 tracks were maintained in real time 3 South China Sea AOI to southern tip of India tracked3.South China Sea AOI to southern tip of India tracked

Several improvements to AQ’s runtime efficiency were installed:• JAVA enhancements to AQ data fusion processor, including installing 64 bit JAVA 8 • upgraded to Red Hat LINUX 6.5• installed 8 GBRAM• installed 8 GBRAM

Bottom Line: Increased ships tracked in real time on a single AQ node from ~ 2,200 to over 20,000

AQ’s preliminary estimate is that all ship tracks worldwide (~ 1 million)can be processed by the SSC-P Ghost Machine Andrea (John Evans) in real time using ~ 70 cores of GMA’s 576 cores using MapR’s Hadoop, Map reduce,

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Accumulo, Spark, Shark, YARN, Storm, etc.

Arrival of the 576 core Ghost Machine Andrea (GMA) at SSC-P with supervision from Mr. John Evans SSC-Pp

• GMA Specifications

576 cores on GMA processing machineSeveral cores on GMA Utility and Admin processors 16 GB RAM per core and 3 TB disk space per core 5 10 GB switches 5 10 GB switchesHadoop 2, MaReduce, Accumulo, and other software being installed on GMA

• GMA JWICS Access from AQ SECRET Sensor Sources

Reapply to PACOM TIN and PACFLT for TS/SCI versions of the current AQ sensor Sources

DoDiis One Way Transfer Source(DOTS)L Fil Di t ib ti S t (LFDS)Large File Distribution Systems (LFDS)DoDiis File Transfer System (DFTS)

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ONR Funded SBIR Phase II to integrate AQ onto GMA using advanced distributed processing software from MapR

• Three Phase Technical Approach

Direct transfer of existing AQ single core software to 8 cores of GMA without Direct transfer of existing AQ single core software to 8 cores of GMA without using any distributed software products: estimate ~ 160,000 ship tracks processed in real time

Use the standard Navy open source distributed software designed for batch Use the standard Navy open source distributed software designed for batch (vs., real time applications). Expect this to be slow since there are no simultaneous read/writes, nameplates problems, and single point of failure issues.

Use MapR Hadoop, Map Reduce, Accumulo, Spark, Shark, YARN, Storm, etc. Expect to track 1 million ships in 70 cores of GMA or less

• Summary of advantages of MapR distributed softwareSummary of advantages of MapR distributed software Simultaneous read/writes, no single points of failure, and a scalable substitute

for nameplates

MapR founded by Google Big Table SMEs and have Walmart AXP Rubicon

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MapR founded by Google Big Table SMEs, and have Walmart, AXP, Rubicon, etc. as current customers

• Most Important Metric: GMA will judge real time performance

CRADA application for developing AQ on GMA using previous Sea Mist (TW-08 and 09) TS/SCI sensor inputs to detect and track dark contacts

• Automating EMCON Silent or “Dark” contact detection and tracking is the objective of the CRADA using GMA

AQ detected and accurately tracked the Navy provided Dark contact in TW-08 and TW-09 using TS/SCI NRO sensor data and manual fusion

GMA presents the opportunity to automate the TS/SCI sensor data fusion GMA presents the opportunity to automate the TS/SCI sensor data fusion

Local radar data from the BG or UAS sources also important AQ inputs to detect and track Dark contacts

Will Accumulo allow a multi security level AQ processor within GMA?

• Anti Access Area Denial (A2AD) CRADA Application

The AQ-NCCT connectivity may prove useful here due to the Joint Aerial Layer Network (JALN) Air Force Capability (Naval Postgraduate School project (Dr, Maule)

Embed a “Virtual” AQ processor into local manned air and UAS platforms (NPS ACES)

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p p ( )