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Preface | |
Overview of Digital Signal Processing | p. 1 |
Analog Signal Conditioning | p. 1 |
Analog Filtering | p. 2 |
Analog-to-Digital Conversion | p. 7 |
Digital Filtering | p. 13 |
Finite Impulse Response Filters | p. 14 |
Infinite Impulse Response Filters | p. 19 |
Multirate Signal Processing | p. 22 |
Discrete Fourier Transform | p. 29 |
Window Functions | p. 31 |
Fast Fourier Transform Implementations | p. 39 |
Real-Data Transforms | p. 44 |
Appendices | p. 47 |
Approach 1 | p. 47 |
Approach 2 | p. 48 |
References | p. 49 |
Conventional Beamforming | p. 51 |
Sensor Array Characteristics | p. 51 |
Beamforming as Spatial Filtering | p. 52 |
Beamforming with a Three-Dimensional Array | p. 54 |
Results for One-Dimensional Arrays | p. 54 |
Array Gain | p. 59 |
DFT of a Delayed Sequence | p. 60 |
General Array Gain Expression for Three-Dimensional Arrays and Arbitrary Noise Fields | p. 63 |
Array Gain for a Linear Array in Isotropic Noise | p. 64 |
Array Weighting | p. 65 |
Time-Domain Beamforming | p. 69 |
Interpolation Beamformers | p. 72 |
Tolerance Analysis | p. 77 |
Frequency-Domain Beamforming | p. 84 |
Quadrature Beamforming | p. 91 |
References | p. 94 |
Optimum Detection and Estimation in Passive Sonar | p. 95 |
Signal and Noise Environments | p. 95 |
Signal Models | p. 95 |
Noise Models | p. 97 |
Optimum Detection | p. 100 |
Hypothesis Testing | p. 100 |
Broadband Detector for a Linear Array of Sensors | p. 106 |
Narrowband Detector | p. 114 |
Modulation Detector | p. 123 |
Parameter Estimation | p. 128 |
Cramer-Rao Lower Bound | p. 128 |
Broadband Signal Parameter Estimation | p. 130 |
Narrowband Signal Parameter Estimation | p. 134 |
Delay Estimation | p. 137 |
Conclusion | p. 140 |
References | p. 140 |
Practical Implementations of Optimum Sonar Detectors and Estimators | p. 143 |
Adapting Optimized Receivers to Real-World Conditions | p. 143 |
Background Noise Estimation and Removal | p. 144 |
Noise-Mean Estimation | p. 145 |
Noise Removal | p. 147 |
Broadband Processing | p. 150 |
Effect of F (k) on Broadband Performance | p. 150 |
Broadband Processor Implementation | p. 155 |
Narrowband Processing | p. 158 |
Narrowband Processor Implementation | p. 158 |
Narrowband Processor Performance | p. 163 |
Modulation Processing | p. 173 |
Correlation Processing | p. 175 |
Appendix | p. 181 |
References | p. 185 |
Active Sonar | p. 187 |
Channel Modeling | p. 187 |
Signal Considerations | p. 190 |
Signal Ambiguity Function | p. 191 |
Continuous Wave Pulse | p. 194 |
Linear FM Pulse | p. 199 |
Echo Excess Equation | p. 205 |
Center Frequency Selection | p. 206 |
Range-Doppler-Shift Processing | p. 211 |
Background Noise-Limited Environment | p. 211 |
Reverberation Noise-Limited Environment | p. 214 |
FFT-Based Implementations | p. 219 |
Block Diagram of an Active Sonar Processor | p. 224 |
Appendix | p. 225 |
References | p. 228 |
Conventional Passive Sonar System | p. 231 |
Sonar System Specification | p. 231 |
Broadband Processing | p. 233 |
Narrowband Processing | p. 235 |
Modulation Processing | p. 239 |
Total Computational Rate and Input-Output Rate | p. 240 |
Computational Rate | p. 241 |
Input-Output Rate | p. 242 |
Sonar Signal Processing Architecture | p. 244 |
Overall Sonar Processing System | p. 246 |
Signal Processing Unit | p. 246 |
Signal Processor | p. 247 |
Composite Passive Sonar Display | p. 255 |
Chapter Summary | p. 256 |
References | p. 257 |
Matrix Processing for Sonar | p. 259 |
Computation-Intensive Sonar Signal Processing | p. 259 |
High-Resolution Beamforming | p. 259 |
Adaptive-Combiner Beamformer | p. 270 |
High-Resolution Spectral Estimation | p. 273 |
Required Matrix Operations | p. 278 |
Modern Matrix Techniques | p. 278 |
Numerical Stability | p. 280 |
QR Decomposition | p. 282 |
Singular Value Decomposition | p. 288 |
LU Decomposition | p. 289 |
Computational Requirements | p. 291 |
Adding a New Set of Measurements | p. 292 |
High-Resolution Beamformer | p. 295 |
Appendices | p. 297 |
Maximum-Likelihood Beamformer Calculations | p. 297 |
QR Decomposition via Givens Rotations | p. 299 |
QR Decomposition via Modified Gram-Schmidt | p. 303 |
QR Decomposition via Householder Transformations | p. 305 |
Singular Value Decomposition | p. 307 |
An Example of LU-Decomposition | p. 310 |
Cholesky Factorization | p. 312 |
References | p. 313 |
Mapping Matrix Algorithms onto Processor Arrays | p. 315 |
Processor Arrays for Matrix Algorithms | p. 315 |
Application-Specific Processor Arrays | p. 316 |
The Multimesh Graph Method | p. 319 |
Stages in a Mapping Technique | p. 319 |
Outline of the Multimesh Graph Method | p. 320 |
Class of Admissible Algorithms | p. 322 |
The Regularization Stage | p. 324 |
The Mapping Stage | p. 327 |
The Performance Evaluation Measures | p. 329 |
Mapping the Regularized Algorithm | p. 329 |
Example: Mapping the LU Decomposition Algorithm | p. 335 |
The Target Architecture | p. 336 |
The LU Decomposition Algorithm | p. 336 |
Mapping onto a Linear Array | p. 338 |
Mapping onto a Two-Dimensional Array | p. 341 |
References | p. 344 |
Recent Developments | p. 347 |
Wigner-Ville Distribution | p. 347 |
Focused Beamformer | p. 351 |
Bispectrum | p. 354 |
Conclusion | p. 356 |
References | p. 356 |
Glossary | p. 359 |
Index | p. 363 |
Table of Contents provided by Syndetics. All Rights Reserved. |
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