| 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. |
