Principles of Modern Radar - Volume 2 1891121537

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PART IWaveforms and SpectrumCHAPTER 2 Advanced Pulse Compression WaveformModulations and TechniquesCHAPTER 3 Optimal and Adaptive MIMO WaveformDesignCHAPTER 4 MIMO RadarCHAPTER 5 Radar Applications of Sparse Reconstructionand Compressed Sensing
Page 2: Principles of Modern Radar
Page 5 and 6: Published by SciTech Publishing, an
Page 8: Brief ContentsPreface xvPublisher A
Page 11 and 12: xContents3.6 Adaptive MIMO Radar 10
Page 13 and 14: xiiContents9.3 Adaptive Jammer Canc
Page 15 and 16: xivContents15.3 Multisensor Trackin
Page 17 and 18: xviPrefacehas always been the unlik
Page 19 and 20: Publisher AcknowledgmentsTechnical
Page 21 and 22: Editors and ContributorsVolume Edit
Page 23 and 24: xxiiEditors and ContributorsDr. Lis
Page 25 and 26: xxivEditors and ContributorsMr. Ara
Page 27 and 28: 2 CHAPTER 1 Overview: Advanced Tech
Page 30 and 31: 1.3 Radar and System Topologies 5FI
Page 32 and 33: 1.4 Topics in Advanced Techniques 7
Page 40 and 41: 1.6 References 15TABLE 1-1Summary o
Page 44 and 45: Advanced Pulse CompressionWaveform
Page 46 and 47: 2.1 Introduction 21• Stretch proc
Page 48 and 49: 2.1 Introduction 23SNR BFSNR DFTff
Page 50 and 51: 2.1 Introduction 25z (t)a (t)φ (t)
Page 52 and 53: 2.2 Stretch Processing 27The data b
Page 58: 2.2 Stretch Processing 33The separa
Page 61 and 62: 36 CHAPTER 2 Advanced Pulse Compres
Page 65: 40 CHAPTER 2 Advanced Pulse Compres
Page 68 and 69: 2.3 Stepped Chirp Waveforms 433. A
Page 72 and 73: 2.3 Stepped Chirp Waveforms 4710.90
Page 75: 50 CHAPTER 2 Advanced Pulse Compres
Page 78 and 79: 2.4 Nonlinear Frequency Modulated W
Page 80 and 81: 2.4 Nonlinear Frequency Modulated W
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68 CHAPTER 2 Advanced Pulse Compres
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2.7 Mismatched Filters 752.6.5 Summ
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2.7 Mismatched Filters 79200dB−20
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Optimal and Adaptive MIMOWaveform D
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90 CHAPTER 3 Optimal and Adaptive M
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92 CHAPTER 3 Optimal and Adaptive M
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3.3 Optimum MIMO Design for Maximiz
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3.3 Optimum MIMO Design for Maximiz
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3.4 Optimum MIMO Design for Target
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102 CHAPTER 3 Optimal and Adaptive
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3.5 Constrained Optimum MIMO Radar
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3.6 Adaptive MIMO Radar 109Magnitud
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CHAPTERMIMO Radar4Michael S. Davis
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122 CHAPTER 4 MIMO Radareach target
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4.4 MIMO Radar Signal Processing 12
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128 CHAPTER 4 MIMO Radarauto-correl
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130 CHAPTER 4 MIMO Radar4.4.3 MIMO
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132 CHAPTER 4 MIMO RadarFIGURE 4-5M
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4.5 Waveforms for MIMO Radar 1354.5
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4.5 Waveforms for MIMO Radar 137Pow
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4.6 Applications of MIMO Radar 139i
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4.6 Applications of MIMO Radar 141r
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4.9 References 143The performance o
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4.10 Problems 1454.10 PROBLEMS1. Wh
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148 CHAPTER 5 Radar Applications of
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5.2 CS Theory 153at position r m
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5.2 CS Theory 155outputs can be wri
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5.2 CS Theory 157The combined space
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5.2 CS Theory 15910.80.60.40.20−0
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5.2 CS Theory 161where Ā = RA, and
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5.8 References 197Compressed Sensin
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5.8 References 199[37] Austin, C.D.
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5.8 References 201[77] Kragh, T.J.
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5.8 References 203[116] Eldar, Y.C.
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5.8 References 205[152] Rigling, B.
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5.9 Problems 207[187] Devaney, A.J.
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PART IISynthetic Aperture RadarCHAP
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212 CHAPTER 6 Spotlight Synthetic A
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6.3 Spotlight SAR Nomenclature 223F
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6.4 Sampling Requirements and Resol
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6.7 Phase Error Effects 247dB re: I
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6.7 Phase Error Effects 249dB re: I
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6.8 Autofocus 251Range (m)504030201
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6.9 Summary and Further Reading 253
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6.10 References 255due to broadenin
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6.11 Problems 257[24] Mehrdad Soume
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Stripmap SARCHAPTER7Gregory A. Show
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7.1 Introduction 261• Stripmap op
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7.1 Introduction 263u = along-track
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266 CHAPTER 7 Stripmap SARFor strip
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270 CHAPTER 7 Stripmap SARto form a
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7.3 Doppler Beam Sharpening Extensi
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7.3 Doppler Beam Sharpening Extensi
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7.4 Range-Doppler Algorithms 287whe
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7.4 Range-Doppler Algorithms 289and
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292 CHAPTER 7 Stripmap SARDespite t
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7.4 Range-Doppler Algorithms 295d(u
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298 CHAPTER 7 Stripmap SAR≥r√
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7.4 Range-Doppler Algorithms 301Thi
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7.4 Range-Doppler Algorithms 303Dop
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306 CHAPTER 7 Stripmap SARin accoun
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7.5 Range Migration Algorithm 309Al
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7.5 Range Migration Algorithm 315ex
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318 CHAPTER 7 Stripmap SARwith a ve
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7.6 Operational Considerations 321C
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7.6 Operational Considerations 323T
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7.6 Operational Considerations 325c
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7.7 Applications 3273. In general,
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7.7 Applications 329(a)FIGURE 7-60
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7.9 Further Reading 331The PSR, the
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7.11 Problems 333[18] Raney, R.K.,
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7.11 Problems 335Fourier transformi
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338 CHAPTER 8 Interferometric SAR a
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8.3 Estimating Elevation Profiles U
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8.4 InSAR Operational Consideration
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8.5 InSAR Processing Steps 3638.5.1
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8.5 InSAR Processing Steps 369Along
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8.6 Error Sources 381Equations (8.4
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TABLE 8-3 Approximate Parameters of
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8.7 Some Notable InSAR Systems 385(
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8.8 Other Coherent Exploitation Tec
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8.11 References 3938.11 REFERENCES[
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8.11 References 395[38] Zebker, H.A
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8.12 Problems 397[74] Romeiser, R.
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PART IIIArray Processing and Interf
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402 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 445where
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9.8 References 449the length of the
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9.9 Problems 451[32] Golub, G.H. an
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Clutter Suppression UsingSpace-Time
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10.1 Introduction 455It is known th
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10.1 Introduction 457where [w] ∗
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10.2 Space-Time Signal Representati
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462 CHAPTER 10 Clutter Suppression
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10.3 Space-Time Properties of Groun
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10.4 Space-Time Processing 475X k =
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10.4 Space-Time Processing 477Proba
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10.5 STAP Fundamentals 479It is con
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Space-Time Coding for ActiveAntenna
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502 CHAPTER 11 Space-Time Coding fo
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11.2 Colored Space-Time Exploration
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11.3 Interleaved Scanning (Slow-Tim
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11.4 Code Selection and Grating Lob
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CHAPTERElectronic Protection12Aram
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12.1 Introduction 531c speed of lig
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12.2 Electronic Attack 533PRIPWRBMR
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12.2 Electronic Attack 537figure in
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540 CHAPTER 12 Electronic Protectio
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12.3 EW-Related Formulas 545provide
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12.3 EW-Related Formulas 547incur t
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12.3 EW-Related Formulas 549−40.0
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12.3 EW-Related Formulas 551Section
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12.4 EP Overview 553100FIGURE 12-8J
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12.5 Antenna-Based EP 55512.5.1 Low
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12.7 Exciter-Based EP 565erstwhile
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12.8 Receiver-Based EP 567RSN bandw
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12.8 Receiver-Based EP 56912.8.3 Wi
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12.8 Receiver-Based EP 571to the de
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12.10 Data Processor-Based EP 579Th
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PART IVPost-Processing Consideratio
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590 CHAPTER 13 Introduction to Rada
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13.2 Polarization 595Therefore, we
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13.3 Scattering Matrix 605in (13.34
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13.3 Scattering Matrix 607polarizat
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13.3 Scattering Matrix 609G ψ = G
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13.4 Radar Applications of Polarime
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13.9 Problems 62915. A left-circula
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632 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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