Radar Array Processing: With Contributions by Numerous Experts

Overview

Radar Array Processing presents modern techniques and methods for processingradar signals received by an array of antenna elements. With the recent rapid growth of the technology of hardware for digital signal processing, itis now possible to apply this to radar signals and thus to enlist the full power of sophisticated computational algorithms. Topics covered in detail here include:
super-resolution methods of array signal processing as ...

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Overview

Radar Array Processing presents modern techniques and methods for processingradar signals received by an array of antenna elements. With the recent rapid growth of the technology of hardware for digital signal processing, itis now possible to apply this to radar signals and thus to enlist the full power of sophisticated computational algorithms. Topics covered in detail here include:
super-resolution methods of array signal processing as applied to radar, adaptive beam forming for radar, and radar imaging.
This book will be of interest to researchers and studentsin the radar community and also in related fields such as sonar, seismology, acoustics and radio astronomy.

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Product Details

  • ISBN-13: 9780387552248
  • Publisher: Springer-Verlag New York, LLC
  • Publication date: 12/1/1992
  • Series: Information Sciences Ser.
  • Pages: 317

Table of Contents

1 Overview 1
Pt. I Detection and Estimation
2 Radar Detection Using Array Processing 3
2.1 Observation Model 4
2.2 Coherent Radar Detection 6
2.3 Noncoherent Radar Detection 16
2.4 Passive Radar Detection 33
3 Radar Target Parameter Estimation with Array Antennas 47
3.1 Radar Parameter Estimation Problem 47
3.2 Angle Estimation 51
3.3 Frequency Estimation 86
3.4 Range, Amplitude and Power Estimation 90
4 Exact and Large Sample Maximum Likelihood Techniques for Parameter Estimation and Detection in Array Processing 99
4.1 Background 100
4.2 Chapter Outline 101
4.3 Sensor Array Processing 102
4.4 Exact Maximum Likelihood Estimation 108
4.5 Large Sample Maximum Likelihood Approximations 118
4.6 Calculating the Estimates 125
4.7 Detection of Coherent/Noncoherent Signals 133
4.8 Numerical Examples and Simulations 137
4.9 Conclusions 143
Appendix 4.A Differentiation of the Projection Matrix 144
Appendix 4.B Asymptotic Distribution of the Weighted Subspace Fitting Criterion 144
Pt. II Systolic Arrays
5 Systolic Adaptive Beamforming 153
5.1 Adaptive Antenna Arrays 153
5.2 Systolic and Wavefront Arrays 155
5.3 Canonical Problem 157
5.4 QR Decomposition by Givens Rotations 163
5.5 Direct Residual Extraction 175
5.6 Weight Freezing and Flushing 180
5.7 Linear Constraint Pre-Processor 189
5.8 Minimum Variance Distortionless Response Beamforming 200
5.9 Adaptive Antenna Processor Test-Bed 210
5.10 Further Developments 215
5.11 Comments and Conclusions 225
Appendix 5.A Modified Gram-Schmidt Algorithm 229
Appendix 5.B Constraints with Leading Zeros 232
Appendix 5.C Weighted Least-Squares and Hyperbolic Rotations 235
Appendix 5.D Principal Symbols Used in this Chapter 241
6 Two-Dimensional Adaptive Beamforming: Algorithms and Their Implementation 249
6.1 Arrangement of the Chapter 251
6.2 Adaptive Beamforming Techniques 252
6.3 2D Adaptive Beamforming Algorithm and Implementation 264
6.4 Simulation Results 283
Pt. III Imaging
7 The Radio Camera 295
7.1 Problems 295
7.2 Adaptive Beamforming: Dominant Scatterer Algorithm 296
7.3 Experiments 299
7.4 Adaptive Beamforming: Spatial Correlation Algorithm 303
7.5 Experiments 305
7.6 Number of Elements 307
7.7 Number of Bits per Sample 308
7.8 Data Truncation 308
Subject Index 311
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