Radar System Analysis Design and Simulation[原版非扫描]: Radar System Analysis Design and Simulation.pdf

Contents
Preface xi
Acknowledgments xiii
Introduction xv
Chapter 1
Matrix, Vector, and Linear Equations 1
1.1 Introduction 1
1.2 Simultaneous Linear Equation 1
1.2.1 Gaussian Elimination with Backsubstitution 2
1.2.2 Gaussian Elimination with Forward Substitution 4
1.3 Matrix Factorization 5
1.3.1 LU Factorization 5
1.3.2 LLT Factorization (Cholesky) 7
1.3.3 LDLT Factorization (Modified Cholesky) 8
1.3.4 UDUT Factorization 10
1.3.5 QR Factorization 11
1.4 Matrix Inversion 15
1.4.1 L-1
1 16
1.4.2 L-1
x 17
1.4.3 U-1
1 19
1.4.4 U-1
x 20
1.4.5 D-1 21
1.4.6 Q-1 21
1.5 Vector Operations 21
1.6 Matrix Operations 22
1.7 Conclusion 23
Selected Bibliography 24
Chapter 2
Pseudorandom Number, Noise, and Clutter Generation 25
2.1 Introduction 25
2.2 Pseudorandom Numbers and Unit Uniform Variables 25
2.2.1 PRN Generation of an Arbirary Population 27
2.3 White Gaussian Noise 28
2.4 Rayleigh Noise 30
2.5 Rician Random Variables, Signal-to-Noise Ratio 31
2.6 Chi-Squared Noise 35
Contents
Preface xi
Acknowledgments xiii
Introduction xv
Chapter 1
Matrix, Vector, and Linear Equations 1
1.1 Introduction 1
1.2 Simultaneous Linear Equation 1
1.2.1 Gaussian Elimination with Backsubstitution 2
1.2.2 Gaussian Elimination with Forward Substitution 4
1.3 Matrix Factorization 5
1.3.1 LU Factorization 5
1.3.2 LLT Factorization (Cholesky) 7
1.3.3 LDLT Factorization (Modified Cholesky) 8
1.3.4 UDUT Factorization 10
1.3.5 QR Factorization 11
1.4 Matrix Inversion 15
1.4.1 L-1
1 16
1.4.2 L-1
x 17
1.4.3 U-1
1 19
1.4.4 U-1
x 20
1.4.5 D-1 21
1.4.6 Q-1 21
1.5 Vector Operations 21
1.6 Matrix Operations 22
1.7 Conclusion 23
Selected Bibliography 24
Chapter 2
Pseudorandom Number, Noise, and Clutter Generation 25
2.1 Introduction 25
2.2 Pseudorandom Numbers and Unit Uniform Variables 25
2.2.1 PRN Generation of an Arbirary Population 27
2.3 White Gaussian Noise 28
2.4 Rayleigh Noise 30
2.5 Rician Random Variables, Signal-to-Noise Ratio 31
2.6 Chi-Squared Noise 35
Chapter 5
Ambiguity Function 125
5.1 Introduction 125
5.2 Rectangle Pulse with a Single Constant Frequency 126
5.3 Linear Frequency Modulation (LFM) 128
5.4 Costas-Coded Frequency Hopping Modulation 131
References 140
Selected Bibliography 141
Appendix 5A 141
Chapter 6
Array Antennas 143
6.1 Introduction 143
6.2 Linear Array 143
6.3 Circular Aperture Array 149
6.4 Elliptical Aperture Array 153
6.5 Monopulse Aperture Array 154
6.6 Conclusion 159
References 161
Appendix 6A 162
Closing Remarks 163
Chapter 7
Target Detection 165
7.1 Introduction 165
7.2 The Probability of Detection and the False Alarm
Probability for Marcum’s Target Model 169
7.3 The Probability of Detection, Swerling Target Models 180
7.3.1 Swerling Target Model 1 183
7.3.2 Swerling Target Model 2 186
7.3.3 Swerling Target Model 3 187
7.3.4 Swerling Target Model 4 190
7.4 Conclusion 192
References 196
Selected Bibliography 197
Chapter 8
Kalman Filter 199
8.1 Introduction 199
8.2 Derivation of Kalman Filter Equations 202
8.3 Passenger Airliner 211
8.4 Air Traffic Control Radar 214
8.5 Air Defense Radar, Cartesian Coordinate System 223
8.6 Air Defense Radar, LOS Coordinates 233
8.7 Kalman Filter without Matrix Inversion 238
References 245
Selected Bibliography 246
Chapter 9
Monte Carlo Method and Function Integration 247
9.1 Introduction 247
9.2 Hit-or-Miss Method 247
9.3 Ordered Sample Method 251
9.4 Sample Mean Method 252
9.5 Importance Sampling Method 253
9.6 Observations and Remarks 255
9.7 Probability of False Alarm, Exponential Probability Density Function 256
9.8 Probability of False Alarm, Gaussian Density Function 260
9.9 Integration of Functions 265
9.9.1 Trapezoidal Rule 265
9.9.2 Simpson’s Rule and Extended Simpson’s Rule 266
9.9.3 Gaussian Quadrature 267
9.10 Quadrature in Two Dimensions 275
9.11 Quadrature in Three Dimensions 278
9.12 Concluding Remarks 279
References 280
Appendix 9A 280
Chapter 10
Constant False Alarm Rate (CFAR) Processing 281
10.1 Introduction 281
10.2 Cell Average CFAR (CA-CFAR) 281
10.3 Order-Statistics CFAR (OS-CFAR) 289
10.4 Weibull Clutter 295
10.4.1 Weibull Probability Density Function 295
10.4.2 Weibull Clutter After a Square-Law Detector 297
10.5 Weber-Haykin CFAR (WH-CFAR) 299
10.6 Maximum Likelihood CFAR (ML-CFAR) 305
10.7 Minimum Mean Square Error CFAR (MMSE-CFAR) 313
10.8 Conclusion 319
References 320
Selected Bibliography 321
Moving Target Indicator 323
11.1 Introduction 323
11.2 Nonrecursive Delay-Line Canceller 323
11.3 Recursive Delay-Line Canceller 327
11.4 Blind Speed and Staggered PRFs 331
11.5 Clutter Attenuation and Improvement Factor 334
11.6 Limitation Due to System Instability 346
11.7 A/D Converter Quantization Noise 348
11.8 Clutter Map 349
11.9 Conclusion 349
References 350
Chapter 12
Miscellaneous Program Routines 351
Index 355

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回复 1# masterchen


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