Digital Signal Processing Techniques and Applications in Radar Image Processing:Digital Signal Processing Techniques and Applications in Radar Image Processing (Information and Communication Technology Series,)
By Bu-Chin Wang
Publisher: Wiley-Interscience
Number Of Pages: 338
Publication Date: 2008-08-18
ISBN-10 / ASIN: 0470180927
ISBN-13 / EAN: 9780470180921
Binding: Hardcover
A self-contained approach to DSP techniques and applications in radar imaging
The processing of radar images, in general, consists of three major fields: Digital Signal Processing (DSP); antenna and radar operation; and algorithms used to process the radar images. This book brings together material from these different areas to allow readers to gain a thorough understanding of how radar images are processed.
The book is divided into three main parts and covers:
* DSP principles and signal characteristics in both analog and digital domains, advanced signal sampling, and interpolation techniques
*
Antenna theory (Maxwell equation, radiation field from dipole, and linear phased array), radar fundamentals, radar modulation, and target-detection techniques (continuous wave, pulsed Linear Frequency Modulation, and stepped Frequency Modulation)
*
Properties of radar images, algorithms used for radar image processing, simulation examples, and results of satellite image files processed by Range-Doppler and Stolt interpolation algorithms
The book fully utilizes the computing and graphical capability of MATLAB? to display the signals at various processing stages in 3D and/or cross-sectional views. Additionally, the text is complemented with flowcharts and system block diagrams to aid in readers’ comprehension.
Digital Signal Processing Techniques and Applications in Radar Image Processing serves as an ideal textbook for graduate students and practicing engineers who wish to gain firsthand experience in applying DSP principles and technologies to radar imaging.
新书！占位等待中……:29bb :29bb
新书，支持中
CONTENTS
Preface xiii
List of Symbols xvii
List of Illustrations xxi
1 Signal Theory and Analysis 1
1.1 Special Functions Used in Signal Processing / 1
1.1.1 Delta or Impulse Function (t) / 1
1.1.2 Sampling or Interpolation Function sinc (t) / 2
1.2 Linear System and Convolution / 3
1.2.1 Key Properties of Convolution / 5
1.2.1.1 Commutative / 5
1.2.1.2 Associative / 5
1.2.1.3 Distributive / 5
1.2.1.4 Timeshift / 5
1.3 Fourier Series Representation of Periodic Signals / 6
1.3.1 Trigonometric Fourier Series / 6
1.3.2 Compact Trigonometric Fourier Series / 6
1.3.3 Exponential Fourier Series / 7
1.4 Nonperiodic Signal Representation by Fourier Transform / 11
1.5 Fourier Transform of a Periodic Signal / 16
1.6 Sampling Theory and Interpolation / 19
1.7 Advanced Sampling Techniques / 24
1.7.1 Sampling with Bandpass Signal / 24
1.7.2 Resampling by Evenly Spaced Decimation / 25
1.7.3 Resampling by Evenly Spaced Interpolation / 25
1.7.4 Resampling by Fractional Rate Interpolation / 26
vii
viii CONTENTS
1.7.5 Resampling from Unevenly Spaced Data / 28
1.7.5.1 Jacobian of Transformation / 28
2 Discrete Time and Frequency Transformation 35
2.1 Continuous and Discrete Fourier Transform / 35
2.2 Key Properties of Discrete Fourier Transform / 38
2.2.1 Shifting and Symmetry / 39
2.2.2 Linear and Circular Convolution / 39
2.2.3 Sectioned Convolution / 41
2.2.3.1 Overlap-and-Add Method / 42
2.2.3.2 Overlap-and-Save Method / 42
2.2.4 Zero Stuffing and Discrete Fourier Transform (DFT)
Resolution / 43
2.3 Widows and Discrete Fourier Transform / 48
2.4 Fast Fourier Transform / 50
2.4.1 Radix-2 Fast Fourier Transform (FFT) Algorithms / 50
2.5 Discrete Cosine Transform (DCT) / 53
2.5.1 Two-Dimensional DCT / 57
2.6 Continuous and Discrete Signals in Time and Frequency Domains / 57
2.6.1 Graphical Representation of DFT / 57
2.6.2 Resampling with Fractional Interpolation Based on DFT / 60
3 Basics of Antenna Theory 63
3.1 Maxwell and Wave Equations / 63
3.1.1 Harmonic Time Dependence / 65
3.2 Radiation from an Infinitesimal Current Dipole / 67
3.2.1 Magnetic Vector Potential Due to a Small but Finite Current
Element / 68
3.2.2 Field Vectors Due to Small but Finite Current Radiation / 69
3.2.3 Far-Field Region / 70
3.2.4 Summary of Radiation Fields / 72
3.3 Radiation from a Half-Wavelength Dipole / 73
3.4 Radiation from a Linear Array / 74
3.4.1 Power Radiation Pattern from a Linear Array / 78
3.5 Power Radiation Pattern from a 2D Rectangular Array / 80
CONTENTS ix
3.6 Fundamentals of Antenna Parameters / 81
3.6.1 Radiation Beamwidth / 81
3.6.2 Solid Angle, Power Density, and Radiation Intensity / 82
3.6.3 Directivity and Gain / 84
3.6.4 Antenna Impedance / 84
3.6.5 Antenna Efficiency / 85
3.6.6 Effective Area and Antenna Gain / 85
3.6.7 Polarization / 89
3.7 Commonly Used Antenna Geometries / 89
3.7.1 Single-Element Radiators / 89
3.7.2 Microstrip Antennas and Antenna Array / 91
4 Fundamentals of Radar 93
4.1 Principles of Radar Operation / 93
4.2 Basic Configuration of Radar / 96
4.2.1 Waveform Generator / 96
4.2.2 Transmitter / 96
4.2.3 Antenna System / 96
4.2.4 Receiver / 97
4.2.5 Computer/Signal Processor / 97
4.2.6 Timing and Control / 97
4.3 The Radar Range Equation / 97
4.4 Cross Section and Clutter / 100
4.4.1 Target Cross Section / 100
4.4.2 Cross Section and the Equivalent Sphere / 101
4.4.3 Cross Section of Real Targets / 101
4.4.4 Radar Cross Section (RCS) / 101
4.4.5 Clutter / 102
4.5 Doppler Effect and Frequency Shift / 103
4.5.1 Doppler Frequency / 104
4.6 Radar Resolution and Ambiguity Function / 110
5 Radar Modulation and Target Detection Techniques 116
5.1 Amplitude Modulation (AM) Radar / 116
5.1.1 Continuous-Wave (CW) Radar / 117
5.1.2 Pulse Modulation Radar / 117
x CONTENTS
5.2 Target Detection Techniques of AM-Based Radar / 119
5.2.1 Doppler Frequency Extraction / 119
5.2.2 Motion Direction Detection / 121
5.3 Frequency Modulation (FM)-Radar / 123
5.3.1 Pulsed Linear Frequency Modulation (LFM) Radar / 124
5.3.2 Continuous-Wave Linear Frequency Modulation Radar / 129
5.3.3 Stepped Frequency Modulation Radar / 130
5.4 Target Detection Techniques of FM-Based Radar / 133
5.4.1 In-Phase Quadrature-Phase Demodulator / 133
5.4.2 Matched Filter and Pulse Compression / 134
5.4.3 Target Detection Techniques of LFM Radar / 141
5.4.4 Target Detection Techniques of SFM Radar / 149
6 Basics of Radar Imaging 155
6.1 Background / 155
6.2 Geometry of Imaging Radar / 157
6.3 Doppler Frequency and Radar Image Processing / 159
6.3.1 Broadside SAR / 161
6.3.2 SAR with Squint Angle / 174
6.3.2.1 SAR with a Small Squint Angle / 176
6.3.2.2 SAR with a Low Squint Angle / 180
6.4 Range Migration and Curvature / 185
6.5 Geometric Distortions of the Radar Image / 188
6.5.1 Layover / 188
6.5.2 Foreshortening / 189
6.5.3 Shadowing / 189
6.5.4 Slant-to-Ground Range Distortion / 189
6.5.5 Speckle / 189
6.6 Radar Image Resolution / 189
6.6.1 Example of Real Aperture Radar (RAR) Resolution:
ERS-1/2-Imaging Radars / 191
7 System Model and Data Acquisition of SAR Image 194
7.1 System Model of Range Radar Imaging / 194
7.1.1 System Model / 194
7.1.2 Reconstruction of Range Target Function / 196
CONTENTS xi
7.2 System Model of Cross-Range Radar Imaging / 199
7.2.1 Broadside Radar Case / 199
7.2.1.1 System Model / 199
7.2.1.2 Principle of Stationary Phase / 203
7.2.1.3 Spatial Fourier Transform of Cross-Range Target
Response / 207
7.2.1.4 Reconstruction of Cross-Range Target Function / 210
7.2.2 Squint Radar Case / 213
7.2.2.1 System Model / 213
7.2.2.2 Spatial Fourier Transform of Cross-Range Target
Response / 216
7.2.2.3 Reconstruction of Cross-Range Target Function / 219
7.3 Data Acquisition, Sampling, and Power Spectrum of Radar
Image / 221
7.3.1 Digitized Doppler Frequency Power Spectrum / 223
7.3.1.1 Broadside SAR / 223
7.3.1.2 Squint SAR / 223
8 Range–Doppler Processing on SAR Images 226
8.1 SAR Image Data Generation / 227
8.2 Synthesis of a Broadside SAR Image Data Array / 231
8.2.1 Single-Target Case / 231
8.2.2 Multiple-Target Case / 235
8.3 Synthesis of a Squint SAR Image Data Array / 240
8.3.1 Single-Target Case / 240
8.3.2 Multiple-Target Case / 242
8.4 Range–Doppler Processing of SAR Data / 246
8.4.1 Range Compression / 248
8.4.2 Corner Turn / 249
8.4.3 Range Cell Migration Correction / 249
8.4.3.1 Computation of Range Migration Amount / 249
8.4.3.2 Fractional Range Sample Interpolation / 252
8.4.3.3 Range Sample Shift / 252
8.4.4 Azimuth Compression / 254
8.4.4.1 Doppler Frequency Centroid / 254
8.4.4.2 Doppler Frequency Change Rate / 254
8.4.4.3 Pulse Duration Time Ta / 254
xii CONTENTS
8.5 Simulation Results / 255
8.5.1 Broadside SAR with Single Target / 255
8.5.2 Broadside SAR with Multiple Targets / 261
8.5.3 Squint SAR with Single Target / 267
8.5.4 Squint SAR with Multiple Targets / 275
9 Stolt Interpolation Processing on SAR Images 285
9.1 Wavenumber Domain Processing of SAR Data / 285
9.2 Direct Interpolation from Unevenly Spaced Samples / 288
9.3 Stolt Interpolation Processing of SAR Data / 290
9.3.1 System Model of Broadside SAR with Six Targets / 294
9.3.2 Synthesis of Broadside SAR Data Array / 296
9.3.3 Simulation Results / 298
9.3.4 System Model of Squint SAR with Six Targets / 305
9.3.5 Synthesis of Squint SAR Data Array / 307
9.3.6 Simulation Results / 309
9.4 Reconstruction of Satellite Radar Image Data / 320
9.5 Comparison Between Range–Doppler and Stolt Interpolation on
SAR Data Processing / 328
Further Reading 333
Index 335
Digital.Signal.Processing.Techniques.and.Applications.part1
ص
[ 本帖最后由 drjiachen 于 2008-12-24 10:10 编辑 ]
Digital.Signal.Processing.Techniques.and.Applications.part2
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Digital Signal Processing Techniques and Applications in Radar Image Processing
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Digital Signal Processing Techniques and Applications in Radar Image Processing
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成像与先进雷达技术基础
Digital Signal Processing Techniques and Applications in Radar Image Processing
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Digital Signal Processing Techniques and Applications in Radar Image Processing: Digital.Signal.Processing.Techniques.and.Applications.part2.rar
