Principles of Modern Radar - Volume 2 1891121537

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13.1 Introduction 593S: target scattering matrixS SMR : target scattering matrix with relative phaseS SMA : target scattering matrix with absolute phaseS d : diagonalized target scattering matrixU : unitary matrixM 0 : Mueller matrix (fixed symmetrical target)N: Noise or residue (non-symmetrical) targetJ, K, L: Pauli spin (rotation) matricesV rt = votage at terminals <strong>of</strong> the receive antennaσ = radar cross section13.1.4 AcronymsCommonly used acronyms used in this chapter include the following:AR axial ratioBSA back-scatter alignmentCOHO coherent oscillatorCP circular polarizationCW continuous waveDBF digital beamformerEM electromagneticEP elliptical polarizationESPRIT Estimation <strong>of</strong> Signal Parameters via Rotational Invariance TechniquesFSA forward-scatter alignmentH HermitianHH co-polarized (horizontal) received signal for horizontal Tx polarizationHV cross-polarized (horizontal) received signal for vertical Tx polarizationIF intermediate frequencyLCP left circular polarizationLO local oscillatorLP linear polarizationLSM linear restricted scattering matrixPNA programmable network analyzerPO physical opticsRCP right circular polarization;RCS radar cross sectionRF radio frequencyRx receiverSAR Synthetic aperture radarSMA scattering matrix with absolute phaseSMR scattering matrix with relative phaseSNR signal-to-noise ratioSSM state space methodSTALO stable local oscillatorT transposeTx transmitterVV co-polarized (vertical) received signal for vertical Tx polarizationVH cross-polarized (vertical) received signal for horizontal Tx polarization
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Principles of Modern Radar
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Published by SciTech Publishing, an
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Brief ContentsPreface xvPublisher A
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xContents3.6 Adaptive MIMO Radar 10
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xiiContents9.3 Adaptive Jammer Canc
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xivContents15.3 Multisensor Trackin
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xviPrefacehas always been the unlik
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Publisher AcknowledgmentsTechnical
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Editors and ContributorsVolume Edit
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xxiiEditors and ContributorsDr. Lis
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xxivEditors and ContributorsMr. Ara
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2 CHAPTER 1 Overview: Advanced Tech
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1.3 Radar and System Topologies 5FI
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1.4 Topics in Advanced Techniques 7
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1.6 References 15TABLE 1-1Summary o
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PART IWaveforms and SpectrumCHAPTER
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20 CHAPTER 2 Advanced Pulse Compres
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2.2 Stretch Processing 35is applied
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2.2 Stretch Processing 37TABLE 2-1
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2.5 Stepped Frequency Waveforms 61T
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2.5 Stepped Frequency Waveforms 63w
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2.5 Stepped Frequency Waveforms 69I
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2.9 References 812.7.4 SummaryWhile
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2.9 References 83[27] Taylor, Jr.,
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2.10 Problems 85shift across the pu
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88 CHAPTER 3 Optimal and Adaptive M
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3.2 Optimum MIMO Waveform Design fo
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3.4 Optimum MIMO Design for Target
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3.4 Optimum MIMO Design for Target
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3.5 Constrained Optimum MIMO Radar
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108 CHAPTER 3 Optimal and Adaptive
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3.6 Adaptive MIMO Radar 111SINR Los
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3.10 Problems 115[22] W. Y. Hsiang,
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3.10 Problems 1179. A constrained o
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120 CHAPTER 4 MIMO Radarperformance
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4.3 The MIMO Virtual Array 123separ
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4.4 MIMO Radar Signal Processing 12
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134 CHAPTER 4 MIMO RadarFIGURE 4-7T
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136 CHAPTER 4 MIMO Radar4.5.2 MIMO
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138 CHAPTER 4 MIMO Radarnamely, R
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140 CHAPTER 4 MIMO RadarTABLE 4-2 P
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142 CHAPTER 4 MIMO RadarSINR Loss (
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144 CHAPTER 4 MIMO Radar[10] H. V.
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Radar Applications of SparseReconst
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5.1 Introduction 149δ = M/N, the u
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152 CHAPTER 5 Radar Applications of
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5.2 CS Theory 163While the notion o
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5.2 CS Theory 165as , where is a b
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5.3 SR Algorithms 167than the norm
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5.3 SR Algorithms 169the value of o
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5.3 SR Algorithms 171takes special
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5.3 SR Algorithms 173The function f
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5.3 SR Algorithms 175of the TV norm
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5.3 SR Algorithms 177One can argue
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5.3 SR Algorithms 179probability ma
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5.3 SR Algorithms 181only a subset
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5.4 Sample Radar Applications 183pr
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5.4 Sample Radar Applications 185We
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5.4 Sample Radar Applications 187th
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5.4 Sample Radar Applications 189tu
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5.4 Sample Radar Applications 191Ra
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5.4 Sample Radar Applications 193Ta
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Spotlight SyntheticAperture RadarCH
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6.1 Introduction 213• Image quali
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6.2 Mathematical Background 215andf
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6.2 Mathematical Background 2172π
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220 CHAPTER 6 Spotlight Synthetic A
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6.4 Sampling Requirements and Resol
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6.4 Sampling Requirements and Resol
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6.5 Image Reconstruction 239FIGURE
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6.6 Image Metrics 241The contrast r
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6.6 Image Metrics 243Along-track am
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6.7 Phase Error Effects 245TABLE 6-
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260 CHAPTER 7 Stripmap SAR3 m SAR O
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262 CHAPTER 7 Stripmap SAR• RMA i
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264 CHAPTER 7 Stripmap SARH 0 (ω)
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268 CHAPTER 7 Stripmap SARTABLE 7-1
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274 CHAPTER 7 Stripmap SARFIGURE 7-
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276 CHAPTER 7 Stripmap SAR−500Sce
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7.3 Doppler Beam Sharpening Extensi
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288 CHAPTER 7 Stripmap SARand in th
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7.4 Range-Doppler Algorithms 291to
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7.4 Range-Doppler Algorithms 293For
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296 CHAPTER 7 Stripmap SAR−150Col
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300 CHAPTER 7 Stripmap SAR33 cycles
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302 CHAPTER 7 Stripmap SARCrossrang
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304 CHAPTER 7 Stripmap SARfrom freq
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7.5 Range Migration Algorithm 307r,
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310 CHAPTER 7 Stripmap SARkx (rad/m
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316 CHAPTER 7 Stripmap SARThe diffe
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320 CHAPTER 7 Stripmap SARLet us re
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322 CHAPTER 7 Stripmap SARThe resul
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324 CHAPTER 7 Stripmap SARscene. Th
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326 CHAPTER 7 Stripmap SARdriven by
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328 CHAPTER 7 Stripmap SARTABLE 7-3
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330 CHAPTER 7 Stripmap SARFIGURE 7-
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332 CHAPTER 7 Stripmap SAR7.10 REFE
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334 CHAPTER 7 Stripmap SAR6. [MATLA
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Interferometric SAR andCoherent Exp
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8.1 Introduction 3398.1.1 Organizat
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8.1 Introduction 341Rsabnv rw x ,w
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8.2 Digital Terrain Models 343FIGUR
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8.3 Estimating Elevation Profiles U
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352 CHAPTER 8 Interferometric SAR a
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8.5 InSAR Processing Steps 365ξ ta
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8.5 InSAR Processing Steps 3670.1 0
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8.5 InSAR Processing Steps 373While
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8.6 Error Sources 375The second met
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8.6 Error Sources 377If sufficient
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Adaptive Digital BeamformingCHAPTER
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9.1 Introduction 403c k = clutter s
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408 CHAPTER 9 Adaptive Digital Beam
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9.2 Digital Beamforming Fundamental
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9.3 Adaptive Jammer Cancellation 42
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9.5 Wideband Cancellation 447FIGURE
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454 CHAPTER 10 Clutter Suppression
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10.2 Space-Time Signal Representati
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10.5 STAP Fundamentals 4810−5−1
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10.6 STAP Processing Architectures
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10.7 Other Considerations 4911 CPIM
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10.9 Summary 49310.7.3 Computationa
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10.10 References 495[12] Fenner, D.
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10.11 Problems 497the PSD in Figure
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11.2 Colored Space-Time Exploration
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11.2 Colored Space-Time Exploration
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506 CHAPTER 11 Space-Time Coding fo
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11.8 References 525Cost reduction o
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11.9 Problems 52711.9.2 Equivalence
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530 CHAPTER 12 Electronic Protectio
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12.2 Electronic Attack 535TABLE 12-
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12.2 Electronic Attack 541variation
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644 CHAPTER 14 Automatic Target Rec
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670 CHAPTER 15 Multitarget, Multise
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15.2 Multitarget Tracking 677state
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15.2 Multitarget Tracking 679track
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15.2 Multitarget Tracking 681Probab
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15.2 Multitarget Tracking 689Mode 1
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15.3 Multisensor Tracking 69115.3 M
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PART VEmerging TechniquesCHAPTER 16
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706 CHAPTER 16 Human Detection With
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16.2 Characterizing the Human Radar
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16.2 Characterizing the Human Radar
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16.3 Spectrogram Analysis of Human
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16.3 Spectrogram Analysis of Human
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Advanced Processing Methodsfor Pass
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17.1 Introduction 743to the usual c
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c = velocity of propagation (speed
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17.2 Evaluation of the 2D-CCF for t
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17.3 Direct Signal and Multipath/Cl
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762 CHAPTER 17 Advanced Processing
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17.4 Signal Processing Techniques f
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17.4 Signal Processing Techniques f
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17.5 2D-CCF Sidelobe Control 775sup
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17.5 2D-CCF Sidelobe Control 777Aut
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17.5 2D-CCF Sidelobe Control 779hig
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17.5 2D-CCF Sidelobe Control 781Acc
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17.5 2D-CCF Sidelobe Control 789REF
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17.6 Multichannel Processing for De
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Appendix A: Answers toSelected Prob
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Chapter 71. Waveform bandwidth = 15
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Appendix A: Answers to Selected Pro
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Signal Analysis and ProcessingSelec
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IndexNote: Page numbers followed by
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Index 831Channel matrix, MIMO, 125-
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Index 833notes on, 285RMC. See Rang
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Index 835SINR loss for, 141, 142fGr
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Index 837Layover and foreshortening
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Index 839design approaches, 51-52Do
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Index 841preselection, 567-568spati
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Index 843computational demands, 493
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Index 845TED. See Total energy dete
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Principles of Modern Radar: Advance
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