ch5-radar+target+and+clutter
DESCRIPTION
radar target and clutterTRANSCRIPT
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Korea Aerospace Univ. (Prof. Kwag)
Lecture 5 : Targets and Clutter
Objective
- Radar Cross Section - Target Fluctuation - Clutter - Clutter
- RCS Definition and Fundamentals - RCS Fluctuation - Target Fluctuation Models - RCS of Fundamental Shapes - RCS of Complex Objects - Interfering Signals-Noise - Radar Clutter Model - Surface Clutter Characteristics - Volume Clutter Characteristics - Moving Clutter - Doppler Spectrum - Reference
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Korea Aerospace Univ. (Prof. Kwag) 3
Part I : Radar Target
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Korea Aerospace Univ. (Prof. Kwag)
5.1 RCS Definition and Fundamentals
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RCS Definition - Target RCS (Radar Cross Section) is defined as the ratio of its effective isotropically reflected power to the incident power density
areaUnitpowerIncident
anglesolidUnitpowerReflected 4
- RCS measures the targets reflection of signals in the direction of the radar receiving antenna
backscatter, which is the only reflected energy from the target to the radar
24 T
TTtgt
R
GPP
)(
targetbyreflectedtgt
wattsradartheofdirectionthein
thepowereffectivetheP
222 4
1
44
1
RR
TT
R
tgtRR
GP
RPP
rBackscatte
24 T
TTtgt
R
GPP
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Korea Aerospace Univ. (Prof. Kwag)
5.1 RCS Definition and Fundamentals
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Mode of Radar Cross Section
< Mode of Radar Cross Section >
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Korea Aerospace Univ. (Prof. Kwag)
5.1 RCS Definition and Fundamentals
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RCS Dependence on Shape and Angle
< RCS Dependence on Shape & Orientation >
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Korea Aerospace Univ. (Prof. Kwag)
5.1 RCS Definition and Fundamentals
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RCS Components
)(
:
:
:
metersquareunitGA
radartheofdirectiontheintargettheofgainG
radartheofpolizationtheattargettheoftyreflectivi
targettheofareaA
tgttgttgt
tgt
tgt
tgt
Target Field Zone
.
2 2
antradartheofaxisthetonormalextentlinerstarget'Dwhere
DR
distancefieldFar
FF
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Korea Aerospace Univ. (Prof. Kwag)
5.2 RCS Fluctuation
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RCS Fluctuation - Amplitude fluctuation : scintillation = variations in received echo power - Phase fluctuation : glint = wave fronts echoing from the target
Fluctuation speed - slow fluctuation : time constant is greater than dwell time, vary from scan to scan - rapid fluctuation : varies from pulse to pulse
< Slow and Rapid Fluctuations >
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Korea Aerospace Univ. (Prof. Kwag)
5.2 RCS Fluctuation
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Fluctuation Mechanism - Fluctuation of extended target (single far field target)
total RCS is the vector sum of the all small elemental scatterers
RCS depends on the targets aspect angle
different angles cause different summations
reflectionnozero
negativesumvector
< Fluctuations of a Single Extended Scatterer >
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Korea Aerospace Univ. (Prof. Kwag)
5.2 RCS Fluctuation
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- Fluctuation of array of scatterers vs. aspect depends on the aspect angle from which a complex target of many
scatterers is viewed
(EX) aircraft target RCS
: summation of many individual scattering center on target
)(....... 2 termpowerRCSTotal n21 RCSRCSRCS
- Fluctuation of complex targets as a function of freq. depends on the viewing a target at different frequencies
Notes
spacing of the scatterers and the wave length
determines the amount of fluctuation for a given freq.
The wider the spacing, the greater the RCS fluctuation with small freq. change
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Korea Aerospace Univ. (Prof. Kwag)
5.2 RCS Fluctuation
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- RCS Dependence Angle and Frequency of 3 GHz
< Aspect Dependence of RCS for Complex Target >
< Frequency Dependence of RCS >
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Korea Aerospace Univ. (Prof. Kwag)
5.2 RCS Fluctuation
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- Fluctuation from multi-path
< Target Fluctuation Caused by Multipath>
from signal path : d-d, d-r, r-d, r-r
As the range changes, the sum of four signals changes
* Note : RCS varies from zero to 16 times.
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Korea Aerospace Univ. (Prof. Kwag)
5.3 Target Fluctuation Models
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Marcum / Swerling Models [Ref]
- Marcum : A Statistical Theory of Detection by Pulsed Radar IRE Tr. Vol. IT-6, PP.59-267, Apr, 1960
- Swerling : Probability of Detection for Fluctuating Targets IRE Tr. Vol. IT-6, PP.269-308, Apr, 1960
Swerling case 0 and case 5 - non fluctuating target - modeled as single isotropic scatterers - targets size
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Korea Aerospace Univ. (Prof. Kwag)
5.3 Target Fluctuation Models
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Swerling case 1 - slowly fluctuating target (large fluctuation, scan to scan) - modeled as several scatterers, equal RCS - little aspect change over a look (Ex) Aircraft target without pulse-to-pulse freq. agility
Swerling case 2 - rapidly fluctuating target, large fluctuation - modeled as case 1 - aspect angle is rapidly changing - complex target for pulse-to-pulse freq. Agility
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Korea Aerospace Univ. (Prof. Kwag)
5.3 Target Fluctuation Models
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Swerling case 3 - slowly fluctuation target, small fluctuation - modeled as one prominent scatterer with several scatterers (ex.missile)
- aspect angle changes are small(scan to scan) over a look Swerling case 4
- same as case 3 - rapidly fluctuating target - rapid aspect angle changes or from radar freq. change agility
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Korea Aerospace Univ. (Prof. Kwag)
5.3 Target Fluctuation Models
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RCS Case Changes through Target Argumentation
Small Target
(case 1&2 model)
Large Single RCS Scatterer Target case 3 & 4 model
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Korea Aerospace Univ. (Prof. Kwag)
5.4 RCS of Fundamental Shapes
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Sphere RCS vs. Frequency - If wavelength = circumference, resonance case : circumference = 0.5 10 times wavelength
RCS varies from 0.3 3.5 times optical cross section
called MIE region
- wavelength >> circumference, RCS ratio = (kr) power of 4 called Rayleigh scattering region
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Korea Aerospace Univ. (Prof. Kwag)
5.4 RCS of Fundamental Shapes
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RCS of Fundamental Shapes
RCS of Fundamental Shapes
(Adapted from Barton)
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Korea Aerospace Univ. (Prof. Kwag) 19
(a) Sphere RCS
sigma = pi.d2 /4 (equation. 4.8)
where d = spheres diameter
Cylinder RCS
Flat plate RCS
cLdffreqoftermsinRCScylinderconductingfor
Ldcylinderfosectioncrossradarbroadsidepeak
dLAareacylinder
lengthncecircumferethe
CYL
CYL
2
2
.
&
22222 44 cAfAFP
RCS of Fundamental Shape-I
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Korea Aerospace Univ. (Prof. Kwag) 20
RSP Lab Hankuk Aviation Univ.
dwhenoccursofvaluepeak 2
88.0 2
aircraftanoffuselagewingaofonintersectifromRCShighaccidently
.argumentortargetforusedso,plate.thethanwidermuchlobeRCSpeak
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lobemainwide
arriveditwhichfromdirectiontheinpowerreflectwhichdevice
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principlereflectorCorner
reflection%100
RCS of Fundamental Shape-II
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Korea Aerospace Univ. (Prof. Kwag) 21
Luneburg Lens Principle
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Korea Aerospace Univ. (Prof. Kwag)
5.4 RCS of Fundamental Shapes
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Triangular Corner Reflector RCS
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Korea Aerospace Univ. (Prof. Kwag)
5.5 RCS of Complex Objects
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RCS of Complex Object
< T-33A Aircraft >
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Korea Aerospace Univ. (Prof. Kwag)
5.5 RCS of Complex Objects
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< T-33A Aircraft at 425MHz >
< T-33A Aircraft at 3.0 GHz >
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Korea Aerospace Univ. (Prof. Kwag)
5.5 RCS of Complex Objects
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Hypothetical RCS Data
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Korea Aerospace Univ. (Prof. Kwag) 26
Part II : Radar Clutter
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Korea Aerospace Univ. (Prof. Kwag)
5.6 Radar Clutter Model
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Definition - Clutter is a term used to describe, any object that generate unwanted radar returns that may interfere within normal
radar operation
- Classified into two categories surface clutter : trees, vegetation, ground terrain,
see surface (see clutter)
volume clutter : chaff, rain, birds, insects
- Note clutter signal is much higher than the receiver noise level
SCR(Signal to Clutter Ratio)
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Korea Aerospace Univ. (Prof. Kwag)
5.7 Radar Clutter Model
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Radar Clutter Type
SEA
desert
stormDustfarmland
AnglesChaffvegetated
Insectssnowwoods
Birdsrainmountains
vehiclesMovingWeatherLand
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Korea Aerospace Univ. (Prof. Kwag)
5.6 Radar Clutter Model
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Radar Clutter Characteristics
Weibull),Normal-Log,us(homogeneoondistributiSpatial
Rician),(RayleighnfluctuatioAmplitude
velocity)(radilshiftdopplerAverage
Gaussian) (e.g.widthandshapeSpectrum
)mmormm(tyReflectivi 3222
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Korea Aerospace Univ. (Prof. Kwag)
5.6 Radar Clutter Model
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Reflectivity
length
volume
area
Lextentlinear
sectionsscroradar
m
m
caseDcorridorchaffNarrow
Volumevcellresolution
sectionsscroradar
m
m
caseDclutterVolume
Aareacellresolution
sectionsscroradar
m
m
caseDclutterSurface
ctivityRefleClutter
11
2
1
33
2
3
0
2
20
)1(
)3(
)2(
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Korea Aerospace Univ. (Prof. Kwag)
5.6 Radar Clutter Model
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Clutter Environmental Characteristics
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Korea Aerospace Univ. (Prof. Kwag)
5.6 Radar Clutter Model
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Clutter Doppler Characteristics - Clutter bandwidth
< Summary of Standard Ceviations of the Clutter Spectrum >
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Korea Aerospace Univ. (Prof. Kwag)
5.6 Radar Clutter Model
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Clutter Spectrum Characteristics - Response of a double canceller MTI to ground, rain and chaff clutter
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Korea Aerospace Univ. (Prof. Kwag)
5.7 Surface Clutter Characteristics
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Surface Clutter
ondistributiAmplitude
onpolarizatiBeam
velocityMean
spreadVelocity
angleGrazing
tyreflectivideterminesstateSeaSea
spreadSpectrl
ondistributiAmplitude
angleGrazing
ctivityRefleLand
sticscharactericlutterArea
)(
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Korea Aerospace Univ. (Prof. Kwag)
5.7 Surface Clutter Characteristics
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Radar Equation for Surface Clutter
gdBC
cRA
sec
23
RcSCR
R
GPclutterfromreceivedPower
R
GPfromradarbyreceivedPower
dB
gt
AC
ct
tt
3
0
43
22
c
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22
t
cos2)(
)4(S
)4(Starget
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Korea Aerospace Univ. (Prof. Kwag)
5.7 Surface Clutter Characteristics
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Clutter Region - low grazing angle region
< Example of Clutter Regions >
heightsurfaceRMShwherehanglecritical
heightRMShwhereh
EEC :4
sin:
:8
sin
- plateau region : the scattering is by facets smaller than the wavelength - high grazing angle region : specular scattering, with diffuse clutter components disappearing. angle90o as specular mirror, clutter coefficient is larger for
smooth terrain and seas than for rough
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Korea Aerospace Univ. (Prof. Kwag)
5.7 Surface Clutter Characteristics
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Rough Surface Definition
grms
grms
g
hphasedifferencepath
hncedisabypathsmooththanlongerispathrough
hifsmooth
sin22
.sin2tan ""
2sin
4
< Rough Surface Definition >
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Korea Aerospace Univ. (Prof. Kwag)
5.7 Surface Clutter Characteristics
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Sea clutter
velocitylengthperiodheightwave
wavehighzerostepsSSStateSea
ctn
SS
C
g
g
,,,
)~(8~0:)(
tan
)2(tanexplog10
)log(sin10log10)1(664
0
0
2
2
0
2
0
Land clutter
mountainfordesertforA
uB
ctnA Cg
g
14~29:
tan
)(tanexplog10)log(sin10log10 0
02
2
02
0
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Korea Aerospace Univ. (Prof. Kwag)
5.7 Surface Clutter Characteristics
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Rayleigh Distribution - First sea & land clutter empirically, composed of many
small scatterers with in the resolution cell (not spiky)
Log-normal Distribution - Fits
Some low angle land clutter
High resolution samples of sea clutter
)(:2
clutter.RMSthe tonormalizedvariable:
0)2exp(2
)(
22
0
2
0
2
2
0
meanxofvalueaveragex
tindependenxwhere
xforxxx
xxP
xlnofdeviationstandard:
:x
variable:
02
lnlnexp)2()(
m
2
2
5.0
xofvaluemedian
tindependenxwhere
xforxx
xxP m
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Korea Aerospace Univ. (Prof. Kwag)
5.7 Surface Clutter Characteristics
40
K-distribution - For sea clutter
parametershapev
parameterscaleb
ordervthkindthirdtheoffunctionBesseleK
powerclutterxwhere
bKvbxvbxP
v
v
:
:
,modifid:
:
2)(2)( 1
Weibull distribution - first low angle clutter in 0.5~5.0 for 1~10GHz
tioncrosscluttermeanx
parametershapeb
normalizedrbackscatteclutterwhere
foraa
bP
bb
sec:
:
:
0exp)(
1
11
1
11
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Korea Aerospace Univ. (Prof. Kwag)
5.7 Surface Clutter Characteristics
41
Clutter Doppler Sea & Land - Sea clutter doppler
.,3
36.0,65.0
10101.0
101.0
14.0
freqpowerhalffnwhere)ff(1
1P(f)
ondistributispectral
secondpermetersifknotsinareWandifisB
speedwindWdeviationstandard
CnC
SV
SSBV
SV
- Land clutter doppler
ionapproximatGaussian)ff(11fP
terrainvegetatedforb
terrainvegetatedforaaW
terrainvegetatedfor
ddistributeGaussianspectrumstandard
Wf
3C
bSV
SC
)(
28.1
007.0
)0272.0exp(33.1
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Korea Aerospace Univ. (Prof. Kwag)
5.8 Volume Clutter Characteristics
42
Volume Clutter (weather, chaff, insect & birds) - Weather clutter
modeled as a very simple elemental scatterers
raindrops modeled as a sphere, co-polarized
dropthiofdiameterDwheretyreflectiviDZ
cellresolutiontheofvolumeVwhereV
RCSTotal
scatterersthitheofRCSwheremm
RCStheofsummation
ii
II
ii
;
)(
6
32
- Chaff
215.0 Chaff
cluttervolumegeneratedlyartificial
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Korea Aerospace Univ. (Prof. Kwag)
5.8 Volume Clutter Characteristics
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- Angel clutter (birds, insects, dust)
s)nsects(dBmiorbirdsindividualofRCSwhere
W
bi
bibi
:
log8.546
cRV
resolutionvolume
eaW2
8
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Korea Aerospace Univ. (Prof. Kwag)
5.11 Reference
[1] Radar Cross-Section by E. F. Long, J. F. Shaeffer, and M. T. Tuley,
Artech House, 1985
[2] Radar Reflectivity of Land and Sea by M. W. Long, Artech House, 1983
[3] Handbook of Radar Scattering Statistics for Terrain by F. T. Ulaby and
M. C Dobson, Artech House, 1989
[4] Airborne Early Warning Radar by W.C. Morchin, Artech House, 1990
[5] Radar System Analysis by D. K. Barton, Artech House, 1976
[6] The Scattering of Electromagnetic Waves from Rough Surfaces by P. Beckmann
and A. Spizzichino, Artech House 1987
[7] Introduction to Radar System by I. Katz in M. I. Skolink, McGraw-Hill, 1980
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