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Radar Systems Analysis and Design Using MATLAB 3rd edition [Kõva köide]

3.97/5 (39 hinnangut Goodreads-ist)

Bassem R. Mahafza

Formaat: Hardback, 776 pages, kaal: 1600 g, 16 Tables, black and white; 464 Illustrations, black and white
Ilmumisaeg: 20-May-2013
Kirjastus: Taylor & Francis Inc
ISBN-10: 1439884951
ISBN-13: 9781439884959

Teised raamatud teemal:

Radar

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Formaat: Hardback, 776 pages, kaal: 1600 g, 16 Tables, black and white; 464 Illustrations, black and white
Ilmumisaeg: 20-May-2013
Kirjastus: Taylor & Francis Inc
ISBN-10: 1439884951
ISBN-13: 9781439884959

Teised raamatud teemal:

Radar

Püsilink: https://www.kriso.ee/db/9781439884959.html

Märksõnad:

Developed from the authors graduate-level courses, the first edition of this book filled the need for a comprehensive, self-contained, and hands-on treatment of radar systems analysis and design. It quickly became a bestseller and was widely adopted by many professors. The second edition built on this successful format by rearranging and updating topics and code.

Reorganized, expanded, and updated, Radar Systems Analysis and Design Using MATLAB®, Third Edition continues to help graduate students and engineers understand the many issues involved in radar systems design and analysis. Each chapter includes the mathematical and analytical coverage necessary for obtaining a solid understanding of radar theory. Additionally, MATLAB functions/programs in each chapter further enhance comprehension of the theory and provide a source for establishing radar system design requirements.

Incorporating feedback from professors and practicing engineers, the third edition of this bestselling text reflects the state of the art in the field and restructures the material to be more convenient for course use. It includes several new topics and many new end-of-chapter problems. This edition also takes advantage of the new features in the latest version of MATLAB. Updated MATLAB code is available for download on the books CRC Press web page.

Arvustused

"The discussion is clearly set out, with step-by-step derivations, easily interpreted diagrams, and sufficient contextual information for the reader to quickly become proficient in the subject without having to delve into excessive and distractive technical detail. radar novices and experienced practitioners alike will find it a useful addition to their textbook collection." The Aeronautical Journal, September 2014

"It provides an essential understanding of radar design, analysis, and signal processing in one convenient source in an updated 3rd edition of this best-selling book. This comprehensive book contains theory, easy-to-follow design equations and formulas, and basic principles that provide the reader with a solid foundation in radar systems. Academics teaching a course in radar systems will find this an excellent teaching resource and should consider this book for their main textbook. Also, practicing engineers interested in learning about design and operating principles of radar systems would find this book worthwhile." John J. Shea, IEEE Electrical Insulation Magazine, July/August 2014

Preface

PART I Radar Principles

Chapter 1 Definitions and Nomenclature

(24)

1.1 Radar Systems Classifications and Bands

(5)

1.2 Pulsed and Continuous Wave (CW) Radars

(1)

1.3 Range

(3)

1.4 Range Resolution

(2)

1.5 Doppler Frequency

(6)

1.6 Coherence

(1)

1.7 Decibel Arithmetic

(6)

Problems

(2)

Appendix 1-A
Chapter 1 MATLAB® Code Listings

(1)

Function "pulse_train.m" Listing

(1)

Function "range_resolution.m" Listing

(1)

Function "doppler_freq.m" Listing

(1)

Chapter 2 Basic Pulsed and Continuous Wave (CW) Radar Operations

(66)

2.1 The Radar Range Equation

(4)

2.2 Low PRF Radar Equation

(4)

2.3 High PRF Radar Equation

(2)

2.4 Surveillance Radar Equation

(5)

2.5 Radar Equation with Jamming

(8)

2.5.1 Self-Screening Jammers (SSJ)

(2)

2.5.2 Bum-Through Range

(5)

2.5.3 Stand-Off Jammers (SOJ)

(1)

2.6 Range Reduction Factor

(1)

2.7 Bistatic Radar Equation

(1)

2.8 Radar Losses

(5)

2.8.1 Transmit and Receive Losses

(1)

2.8.2 Antenna Pattern Loss and Scan Loss

(1)

2.8.3 Atmospheric Loss

(1)

2.8.4 Collapsing Loss

(2)

2.8.5 Processing Loss

(2)

2.9 Noise Figure

(6)

2.10 Continuous Wave (CW) Radars

(9)

2.10.1 CW Radar Equation

(2)

2.10.2 Frequency Modulation

(4)

2.10.3 Linear Frequency Modulated CW Radar

(3)

2.10.4 Multiple Frequency CW Radar

(1)

2.11 MATLAB Program "range_calc.m"

(21)

Problems

(5)

Appendix 2-A
Chapter 2 MATALB Code Listings

(1)

Function "radar_eq.m" Listing

(1)

Program "Fig2_1.m" Listing

(1)

Function "lprf_req.m" Listing

(1)

Program "Fig2_2.m" Listing

(1)

Function "hprf-req.m" Listing

(1)

Program "Fig2_3.m" Listing

(1)

Function "power_aperture.m" Listing

(1)

Program "Fig2_6.m" Listing

(1)

Function "ssj_req.m" Listing

(1)

Program "Fig2_7b.m" Listing

(1)

Function "sir-req.m" Listing

(1)

Program "Fig2_8.m" Listing

(1)

Function "burn thru.m" Listing

(1)

Program "Fig2_9.m" Listing

(1)

Function "soj_req.m" Listing

(1)

Program "Fig2_10.m" Listing

(1)

Function "range clac.m" Listing

(5)

PART II Radar Signals and Signal Processing

Chapter 3 Linear Systems and Complex Signal Representation

(50)

3.1 Signal Classifications

(1)

3.2 The Fourier Transform

(1)

3.3 Systems Classification

(1)

3.3.1 Linear and Nonlinear Systems

(1)

3.3.2 Time Invariant and Time Varying Systems

(1)

3.3.3 Stable and Nonstable Systems

(1)

3.3.4 Causal and Noncausal Systems

(1)

3.4 Signal Representation Using the Fourier Series

(2)

3.5 Convolution and Correlation Integrals

(4)

3.5.1 Energy and Power Spectrum Densities

(3)

3.6 Bandpass Signals

102

(4)

3.6.1 The Analytic Signal (Pre-Envelop)

103

(1)

3.6.2 Pre-Envelop and Complex Envelop of Bandpass Signals

104

(2)

3.7 Spectra of a Few Common Radar Signals

106

(10)

3.7.1 Continuous Wave Signal

106

(1)

3.7.2 Finite Duration Pulse Signal

107

(1)

3.7.3 Periodic Pulse Signal

108

(1)

3.7.4 Finite Duration Pulse Train Signal

109

(2)

3.7.5 Linear Frequency Modulation (LFM) Signal

111

(5)

3.8 Signal Bandwidth and Duration

116

(4)

3.8.1 Effective Bandwidth and Duration Calculation

117

(1)

Single Pulse

117

(1)

Finite Duration Pulse Train Signal

118

(1)

LFM Signal

119

(1)

3.9 Discrete Time Systems and Signals

120

(23)

3.9.1 Sampling Theorem

121

(1)

Lowpass Sampling Theorem

121

(2)

Bandpass Sampling Theorem

123

(1)

3.9.2 The Z-Transform

124

(1)

3.9.3 The Discrete Fourier Transform

125

(1)

3.9.4 Discrete Power Spectrum

126

(1)

3.9.5 Windowing Techniques

127

(2)

3.9.6 Decimation and Interpolation

129

(1)

Decimation

129

(3)

Interpolation

132

(1)

Problems

133

(4)

Appendix 3-A
Chapter 3 MATLAB Code Listings

137

(1)

Program "Fig3_6.m" Listing

137

(1)

Program "Fig3_8.m" Listing

137

(2)

Program "Fig3_10.m" Listing

139

(1)

Appendix 3-B Fourier Transform Pairs

140

(1)

Appendix 3-C Z-Transform Pairs

141

(2)

Chapter 4 The Matched Filter Radar Receiver

143

(26)

4.1 The Matched Filter SNR

143

(4)

4.1.1 White Noise Case

145

(2)

4.2.2 The Replica

147

(1)

4.2 General Formula for the Output of the Matched Filter

147

(4)

4.2.1 Stationary Target Case

148

(1)

4.2.2 Moving Target Case

149

(2)

4.3 Waveform Resolution and Ambiguity

151

(4)

4.3.1 Range Resolution

151

(2)

4.3.2 Doppler Resolution

153

(2)

4.4 Range and Doppler Uncertainty

155

(8)

4.4.1 Range Uncertainty

155

(3)

4.4.2 Doppler Uncertainty

158

(1)

4.4.3 Range-Doppler Coupling

159

(1)

Range Error Estimate

159

(2)

Doppler Error Estimate

161

(1)

4.4.4 Range-Doppler Coupling in LFM Signals

162

(1)

4.5 Target Parameter Estimation

163

(6)

4.5.1 What Is an Estimator?

163

(1)

4.5.2 Amplitude Estimation

164

(1)

4.5.3 Phase Estimation

165

(1)

Problems

165

(4)

Chapter 5 Ambiguity Function - Analog Waveforms

169

(34)

5.1 Introduction

169

(1)

5.2 Examples of the Ambiguity Function

170

(14)

5.2.1 Single Pulse Ambiguity Function

170

(3)

5.2.2 LFM Ambiguity Function

173

(4)

5.2.3 Coherent Pulse Train Ambiguity Function

177

(4)

5.2.4 Pulse Train Ambiguity Function with LFM

181

(3)

5.3 Stepped Frequency Waveforms

184

(2)

5.4 Nonlinear FM

186

(7)

5.4.1 The Concept of Stationary Phase

187

(4)

5.4.2 Frequency Modulated Waveform Spectrum Shaping

191

(2)

5.5 Ambiguity Diagram Contours

193

(1)

5.6 Interpretation of Range-Doppler Coupling in LFM Signals

194

(9)

Problems

195

(2)

Appendix 5-A
Chapter 5 MATLAB Code Listings

197

(1)

Function "single_pulse_ambg.m" Listing

197

(1)

Program "Fig5_2.m" Listing

197

(1)

Program "Fig5_4.m" Listing

197

(1)

Function "lfm_ambg.m" Listing

198

(1)

Program "Fig5_5.m" Listing

198

(1)

Program "Fig5_6.m" Listing

199

(1)

Function "train_ambg.m" Listing

199

(1)

Program "Fig5_8.m" Listing

200

(1)

Program "Fig5_9.m" Listing

200

(1)

Function "train_ambg_lfm.m" Listing

201

(1)

Program "Fig5_10.m" Listing

202

(1)

Program "Fig5_15.m" Listing

202

(1)

Chapter 6 Ambiguity Function - Discrete Coded Waveforms

203

(34)

6.1 Discrete Code Signal Representation

203

(1)

6.2 Pulse Train Codes

204

(5)

6.3 Phase Coding

209

(19)

6.3.1 Binary Phase Codes

209

(1)

Barker Code

210

(8)

Pseudo-Random Number (PRN) Codes

218

(1)

Linear Shift Register Generators

219

(2)

Maximal Length Sequence Characteristic Polynomial

221

(4)

6.3.2 Polyphase Codes

225

(1)

Frank Codes

225

(3)

6.4 Frequency Codes

228

(2)

6.4.1 Costas Codes

228

(2)

6.5 Ambiguity Plots for Discrete Coded Waveforms

230

(7)

Problems

231

(1)

Appendix 6-A
Chapter 6 MATLAB Code Listings

232

(1)

Program "Fig6_2.m" Listing

232

(1)

Function "plot_figures_chapter6.m" Listing

232

(1)

Program "Fig6_3.m" Listing

233

(1)

Program "Fig6_8_10.m" Listing

233

(1)

Program "Fig6_15_16.m" Listing

234

(1)

Program "Fig6_17.m" Listing

235

(1)

Function "ambiguity code.m" Listing

235

(2)

Chapter 7 Pulse Compression

237

(38)

7.1 Time-Bandwidth Product

237

(1)

7.2 Radar Equation with Pulse Compression

238

(1)

7.3 Basic Principle of Pulse Compression

239

(2)

7.4 Correlation Processor

241

(6)

7.5 Stretch Processor

247

(28)

7.5.1 Single LFM Pulse

247

(7)

7.5.2 Stepped Frequency Waveforms

254

(2)

Range Resolution and Range Ambiguity in SFW

256

(5)

7.5.3 Effect of Target Velocity

261

(2)

Problems

263

(2)

Appendix 7-A
Chapter 7 MATLAB Code Listings

265

(1)

Program "Fig7_3.m" Listing

265

(1)

Function "matched_filterm" Listing

265

(2)

Function "power_integer_2.m" Listing

267

(1)

Function "stretch.m" Listing

267

(2)

Function "SWF.m" Listing

269

(1)

Program "Fig7_20.m" Listing

270

(5)

PART III Special Radar Considerations

Chapter 8 Radar Wave Propagation

275

(60)

8.1 The Earth Impact on the Radar Equation

275

(1)

8.2 Earth's Atmosphere

275

(2)

8.3 Atmospheric Models

277

(10)

8.3.1 Index of Refraction in the Troposphere

279

(1)

8.3.2 Index of refraction in the Ionosphere

280

(1)

8.3.3 Mathematical Model for Computing Refraction

281

(2)

8.3.4 Stratified Atmospheric Refraction Model

283

(4)

8.4 Four-Third Earth Model

287

(2)

8.4.1 Target Height Equation

287

(2)

8.5 Ground Reflection

289

(7)

8.5.1 Smooth Surface Reflection Coefficient

289

(4)

8.5.2 Divergence

293

(2)

8.5.3 Rough Surface Reflection

295

(1)

8.5.4 Total Reflection Coefficient

296

(1)

8.6 The Pattern Propagation Factor

296

(7)

8.6.1 Flat Earth

299

(2)

8.6.2 Spherical Earth

301

(2)

8.6.3 MATLAB Program "multipath.m"

303

(1)

8.7 Diffraction

303

(7)

8.8 Atmospheric Attenuation

310

(7)

8.8.1 Atmospheric Absorption

310

(2)

8.8.2 Atmospheric Attenuation Plots

312

(5)

8.9 Attenuation Due to Precipitation

317

(18)

Problems

318

(2)

Appendix 8-A
Chapter 8 MATALB Code Listings

320

(1)

Function "refraction.m" Listing

320

(1)

Program "Fig8_7.m" Listing

321

(1)

Function "ref_coef.m" Listing

321

(1)

Program "Fig8_11_12.m" Listing

322

(1)

Program "Fig8_13_14.m" Listing

322

(1)

Function "divergence.m" Listing

323

(1)

Function "surf_rough.m" Listing

323

(1)

Program "Fig8_17.m" Listing

324

(1)

Function "multipath.m" Listing

324

(2)

Function "airyz01.m" Listing

326

(1)

Program "Fig8_29.m" Listing

327

(1)

Program "Fig8_30.m" Listing

327

(2)

Function "atmo_absorp.m" Listing

329

(1)

Program "Fig8_31.m" Listing

330

(1)

Function "absorption range.m" Listing

330

(1)

Program "Fig8_33.m" Listing

331

(1)

Function "atmospheric_attn.m" Listing

332

(1)

Program "Fig8_34_35.m" Listing

332

(1)

Program "Fig8_36.m" Listing

333

(1)

Program "Fig8_37.m" Listing

334

(1)

Chapter 9 Radar Clutter

335

(26)

9.1 Clutter Definition

335

(1)

9.2 Surface Clutter

335

(4)

9.2.1 Radar Equation for Area Clutter - Airborne Radar

337

(2)

9.3 Volume Clutter

339

(3)

9.3.1 Radar Equation for Volume Clutter

341

(1)

9.4 Surface Clutter RCS

342

(7)

9.4.1 Single Pulse Low PRF Case

342

(6)

9.4.2 High PRF Case

348

(1)

9.5 Clutter Components

349

(2)

9.6 Clutter Backscatter Coefficient Statistical Models

351

(10)

9.6.1 Surface Clutter Case

352

(1)

9.6.2 Volume Clutter Case

353

(2)

Problems

355

(1)

Appendix 9-A
Chapter 9 MATLAB Code Listings

356

(1)

Function "clutter_rcs.m" Listing

356

(1)

Program "Fig9_9 10.m" Listing

357

(1)

Program "Fig9_12_13.m" Listing

358

(1)

Program "Fig9_14.m" Listing

359

(2)

Chapter 10 Moving Target Indicator (MTI) and Pulse Doppler Radars

361

(42)

10.1 Clutter Power Spectrum Density

361

(1)

10.2 Concept of a Moving Target Indicator (MTI)

362

(6)

10.2.1 Single Delay Line Canceler

363

(1)

10.2.2 Double Delay Line Canceler

364

(3)

10.2.3 Delay Lines with Feedback (Recursive Filters)

367

(1)

10.3 PRF Staggering

368

(3)

10.4 MTI Improvement Factor

371

(4)

10.4.1 Two-Pulse MTI Case

372

(2)

10.4.2 The General Case

374

(1)

10.5 Subclutter Visibility (SCV)

375

(1)

10.6 Delay Line Cancelers with Optimal Weights

375

(2)

10.7 Pulse Doppler Radars

377

(10)

10.7.1 Pulse Doppler Radar Signal Processing

381

(1)

10.7.2 Resolving Range Ambiguities

381

(2)

10.7.3 Resolving Doppler Ambiguities

383

(4)

10.8 Phase Noise

387

(16)

Problems

393

(2)

Appendix 10-A
Chapter 10 MATLAB Code Listings

395

(1)

Function "single_canceler.m" Listing

395

(1)

Function "double_canceler.m" Listing

395

(1)

Program "Fig10_8.m" Listing

396

(1)

Program "Fig10_9.m" Listing

396

(1)

Program "Fig10_10.m" Listing

397

(1)

Program "Fig10_24.m" Listing

398

(1)

Program "Fig10_25.m" Listing

398

(1)

Program "Fig10_26.m" Listing

398

(5)

PART IV Radar Detection

Chapter 11 Random Variables and Random Processes

403

(16)

11.1 Random Variables

403

(3)

11.2 Multivariate Gaussian Random Vector

406

(3)

11.2.1 Complex Multivariate Gaussian Random Vector

408

(1)

11.3 Rayleigh Random Variables

409

(1)

11.4 The Chi-Square Random Variables

410

(1)

11.4.1 Central Chi-Square Random Variable with N Degrees of Freedom

410

(1)

11.4.2 Non-central Chi-Square Random Variable with N Degrees of Freedom

411

(1)

11.5 Random Processes

411

(2)

11.6 The Gaussian Random Process

413

(6)

11.6.1 Lowpass Gaussian Random Processes

413

(1)

11.6.2 Bandpass Gaussian Random Processes

414

(1)

11.6.3 The Envelope of a Bandpass Gaussian Process

415

(1)

Problems

416

(3)

Chapter 12 Single Pulse Detection

419

(14)

12.1 Single Pulse with Known Parameters

419

(3)

12.2 Single Pulse with Known Amplitude and Unknown Phase

422

(11)

12.2.1 Probability of False Alarm

426

(1)

12.2.2 Probability of Detection

427

(3)

Problems

430

(1)

Appendix 12-A
Chapter 12 MATLAB Code Listings

431

(1)

Function "que_func.m" Listing

431

(1)

Function "marcumsq.m" Listing

431

(1)

Program "Fig12_5.m" Listing

432

(1)

Chapter 13 Detection of Fluctuating Targets

433

(52)

13.1 Introduction

433

(1)

13.2 Pulse Integration

433

(5)

13.2.1 Coherent Integration

434

(1)

13.2.2 Noncoherent Integration

435

(1)

13.2.3 Improvement Factor and Integration Loss

436

(2)

13.3 Target Fluctuation: The Chi-Square Family of Targets

438

(1)

13.4 Probability of False Alarm Formulation for a Square Law Detector

439

(4)

13.4.1 Square Law Detection

441

(2)

13.5 Probability of Detection Calculation

443

(8)

13.5.1 Detection of Swerling 0 (Swerling V) Targets

443

(2)

13.5.2 Detection of Swerling I Targets

445

(1)

13.5.3 Detection of Swerling II Targets

445

(3)

13.5.4 Detection of Swerling III Targets

448

(2)

13.5.5 Detection of Swerling IV Targets

450

(1)

13.6 Computation of the Fluctuation Loss

451

(2)

13.7 Cumulative Probability of Detection

453

(3)

13.8 Constant False Alarm Rate (CFAR)

456

(3)

13.8.1 Cell Averaging CFAR (Single Pulse)

456

(2)

13.8.2 Cell Averaging CAFR with Noncoherent Integration

458

(1)

13.9 M-out-of-N Detection

459

(1)

13.10 The Radar Equation Revisited

460

(25)

Problems

462

(3)

Appendix 13-A The Incomplete Gamma Function

465

(1)

The Gamma Function

465

(1)

The Incomplete Gamma Function

465

(2)

Appendix 13-B
Chapter 13 MATLAB Code Listings

467

(1)

Function "improv_fac.m" Listing

467

(1)

Program "Fig13 2.m" Listing

467

(1)

Function "threshold.m" Listing

468

(1)

Program "Fig13_4.m" Listing

468

(1)

Function "pd_swerling5.m" Listing

469

(1)

Program "Fig13_5.m" Listing

470

(1)

Function "pd_swerling1.m" Listing

470

(1)

Program "Fig13_6.m" Listing

471

(1)

Program "Fig13_7.m" Listing

471

(1)

Function "pd_swerling2.m" Listing

472

(1)

Program "Fig13_8.m" Listing

473

(1)

Program "Fig13_9.m" Listing

473

(1)

Function "pd_swerling3.m" Listing

474

(1)

Program "Fig13_10.m" Listing

474

(1)

Program "Fig13_11.m" Listing

475

(1)

Function "pd_swerling4.m" Listing

475

(2)

Program "Fig13_12.m" Listing

477

(1)

Function "fluct_loss.m" Listing

477

(2)

Program "Fig13_13.m" Listing

479

(1)

Program "Fig13A_1.m" Listing

479

(6)

PART V Radar Special Topics

Chapter 14 Radar Cross Section (RCS)

485

(56)

14.1 RCS Definition

485

(2)

14.2 RCS Dependency on Aspect Angle and Frequency

487

(3)

14.3 RCS Dependency on Polarization

490

(4)

14.3.1 Normalized Electric Field

490

(1)

14.3.2 Polarization

490

(3)

14.3.3 Target Scattering Matrix

493

(1)

14.4 RCS of Simple Objects

494

(18)

14.4.1 Sphere

495

(2)

14.4.2 Ellipsoid

497

(3)

14.4.3 Circular Flat Plate

500

(1)

14.4.4 Truncated Cone (Frustum)

501

(4)

14.4.5 Cylinder

505

(2)

14.4.6 Rectangular Flat Plate

507

(3)

14.4.7 Triangular Flat Plate

510

(2)

14.5 RCS of Complex Objects

512

(1)

14.6 RCS Prediction Methods

513

(9)

14.6.1 Computational Electromagnetics

514

(1)

14.6.2 Finite Difference Time Domain Method

514

(4)

14.6.3 Finite Element Method

518

(1)

14.6.4 Integral Equations

518

(1)

14.6.5 Geometrical Optics

519

(1)

14.6.6 Physical Optics

520

(1)

Rectangular Plate

520

(1)

N-Sided Polygon

521

(1)

14.6.7 Edge Diffraction

522

(1)

14.7 Multiple Bounce

522

(19)

Problems

523

(2)

Appendix 14-A
Chapter 14 MATALB Code Listings

525

(1)

Function "rcs_aspect.m" Listing

525

(1)

Program "Fig14_3.m" Listing

525

(1)

Function "rcs_frequency.m" Listing

526

(1)

Program "Fig14_5_6.m" Listing

526

(1)

Program "Fig14_10.m" Listing

527

(1)

Function "rcs_ellipsoid.m" Listing

528

(1)

Program "Fig14_112a.m" Listing

528

(1)

Function "rcs_circ_palte.m" Listing

529

(1)

Function "rcs_frustum.m" Listing

530

(1)

Function "rcs_cylinder.m" Listing

531

(1)

Program "Fig14_19.m" Listing

532

(1)

Function "rcs_rect_plate.m" Listing

533

(1)

Function "rcs_isosceles.m" Listing

534

(1)

Function "rcs_cylinder_cmplx.m" Listing

535

(1)

Program "fdtd.m" Listing

536

(2)

Program "rectplate.m" Listing

538

(1)

Program "polygon.m" Listing

539

(2)

Chapter 15 Phased Array Antennas

541

(66)

15.1 Directivity, Power Gain, and Effective Aperture

541

(1)

15.2 Near and Far Fields

542

(1)

15.3 General Arrays

543

(3)

15.4 Linear Arrays

546

(13)

15.4.1 Array Tapering

549

(2)

15.4.2 Computation of the Radiation Pattern via the DFT

551

(8)

15.5 Planar Arrays

559

(27)

15.5.1 Rectangular Grid Arrays

560

(2)

15.5.2 Circular Grid Arrays

562

(7)

15.5.3 Concentric Grid Circular Arrays

569

(1)

15.5.4 Rectangular Grid with Circular Boundary Arrays

570

(1)

15.5.5 Hexagonal Grid Arrays

570

(16)

15.6 Array Scan Loss

586

(2)

15.7 Multiple Input Multiple Output (MIMO) - Linear Array

588

(19)

Problems

591

(2)

Appendix 15-A
Chapter 15 MATLAB Code Listings

593

(1)

Program "Fig15_5.m" Listing

593

(1)

Program "Fig15_7.m" Listing

594

(1)

Function "linear_array.m" Listing

594

(2)

Function "circular array.m" Listing

596

(2)

Function "rect_array.m" Listing

598

(3)

Function "circ array.m" Listing

601

(3)

Function "rect_to_circ.m" Listing

604

(1)

Program "Fig15_50.m" Listing

605

(2)

Chapter 16 Adaptive Signal Processing

607

(32)

16.1 Nonadaptive Beamforming

607

(4)

16.2 Adaptive Signal Processing Using Least Mean Square (LMS)

611

(4)

16.3 The LMS Adaptive Array Processing

615

(8)

16.4 Sidelobe Cancelers (SLC)

623

(1)

16.5 Space Time Adaptive Processing (STAP)

624

(15)

16.5.1 Space Time Processing

624

(3)

16.5.2 Space Time Adaptive Processing

627

(4)

Problems

631

(1)

Appendix 16-A
Chapter 16 MATLAB Code Listings

632

(1)

Function "LMS.m" Listing

632

(1)

Program "Fig16_4_5.m" Listing

632

(1)

Function "adaptive_array_lms.m" Listing

633

(1)

Function "la_sampled_wave.m" Listing

634

(1)

Function "Linear array_FFT.m" Listing

634

(1)

Program "run_stap.m" Listing

635

(1)

Function "stap_std.m" Listing

635

(2)

Function "stap_smaa.m" Listing

637

(1)

Function "st_steering_vector.m" Listing

638

(1)

Function "smaa_st_steering_vector.m" Listing

638

(1)

Chapter 17 Target Tracking

639

(64)

Single Target Tracking

17.1 Angle Tracking

639

(5)

17.1.1 Sequential Lobing

640

(1)

17.1.2 Conical Scan

641

(3)

17.2 Amplitude Comparison Monopulse

644

(3)

17.3 Phase Comparison Monopulse

647

(6)

17.4 Range Tracking

653

(2)

Multiple Target Tracking

17.5 Track-While-Scan (TWS)

655

(1)

17.6 State Variable Representation of an LTI System

656

(4)

17.7 The LTI System of Interest

660

(1)

17.8 Fixed-Gain Tracking Filters

661

(16)

17.8.1 The αβ Filter

664

(3)

17.8.2. The αβγ Filter

667

(10)

17.9 The Kalman Filter

677

(8)

17.9.1 The Singer αβγ - Kalman Filter

679

(2)

17.9.2 Relationship between Kalamn and αβγ Filters

681

(4)

17.10 MATLAB Kalman Filter Simulation

685

(18)

Problems

693

(2)

Appendix 17-A
Chapter 17 MATLAB Code Listings

695

(1)

Function "mono_pulse.m" Listing

695

(1)

Function "ghk_tracker.m" Listing

695

(1)

Function "ghk_tracker1.m" Listing

696

(1)

Program "Fig17_20s.m" Listing

697

(1)

Function "kalman_filterm" Listing

697

(1)

Program "Fig17_29.m" Listing

698

(1)

Program "Fig17_30.m" Listing

699

(1)

Function "maketraj.m" Listing

699

(1)

Function "addnoise.m" Listing

700

(1)

Function "kalfilt.m" Listing

701

(2)

Chapter 18 Tactical Synthetic Aperture Radars

703

(32)

18.1 Introduction

703

(3)

18.1.1 Side Looking SAR Geometry

704

(2)

18.2 SAR Design Considerations

706

(5)

18.3 SAR Radar Equation

711

(1)

18.4 SAR Signal Processing

712

(1)

18.5 Side Looking SAR Doppler Processing

713

(4)

18.6 SAR Imaging Using Doppler Processing

717

(1)

18.7 Range Walk

717

(1)

18.8 A Three-Dimensional SAR Imaging Technique

717

(2)

18.81 Background

719

(16)

18.8.2 DFTSQM Operation and Signal Processing

719

(1)

Linear Arrays

719

(2)

Rectangular Arrays

721

(1)

18.8.3 Geometry for DFTSQM SAR Imaging

722

(2)

18.8.4 Slant Range Equation

724

(2)

18.8.5 Signal Synthesis

726

(1)

18.8.6 Electronic Processing

727

(1)

18.8.7 Derivation of Eq. (18.71)

728

(2)

18.8.8 Non-Zero Taylor Series Coefficient for the kth Range Cell

730

(2)

Problems

732

(1)

Appendix 18-A
Chapter 18 MATLAB Code Listings

733

(1)

Program "Fig18_12_13.m" Listings

733

(2)

Bibliography

735

(8)

Index

743

Bassem R. Mahafza

Radar Systems Analysis and Design Using MATLAB 3rd edition [Kõva köide]

Arvustused

Konto & seaded

Otsing

Otsingu andmebaas

Filtreeri tulemusi

Teemad Ingliskeelsed raamatud

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