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Sonar Signal Processing [Kõva köide]

  • Formaat: Hardback, 384 pages, kõrgus x laius x paksus: 229x152x25 mm, kaal: 733 g, 1, black & white illustrations
  • Sari: Acoustics & signal processing library
  • Ilmumisaeg: 01-May-1991
  • Kirjastus: Artech House Publishers
  • ISBN-10: 0890064539
  • ISBN-13: 9780890064535
Teised raamatud teemal:
  • Formaat: Hardback, 384 pages, kõrgus x laius x paksus: 229x152x25 mm, kaal: 733 g, 1, black & white illustrations
  • Sari: Acoustics & signal processing library
  • Ilmumisaeg: 01-May-1991
  • Kirjastus: Artech House Publishers
  • ISBN-10: 0890064539
  • ISBN-13: 9780890064535
Teised raamatud teemal:
This discussion of sonar signal processing bridges a number of related fields, including acoustic propagation in the medium, detection and estimation theory, filter theory, digital filtering, sensor array processing, spectral analysis, fast transforms and digital signal processing. The book begins with a discussion of the topics of analogue signalling conditioning, digital filtering, and the calculation of the discrete Fourier transform. Other topics discussed include analogue filters and analogue-to-digital conversion, finite impulse and infinite impulse response digital filters, and multirate processing techniques. The book is aimed at sonar, seismic processing, acoustic and radar engineers as well as graduate students.
Preface
Overview of Digital Signal Processing
1(50)
Analog Signal Conditioning
1(12)
Analog Filtering
2(5)
Analog-to-Digital Conversion
7(6)
Digital Filtering
13(16)
Finite Impulse Response Filters
14(5)
Infinite Impulse Response Filters
19(3)
Multirate Signal Processing
22(7)
Discrete Fourier Transform
29(18)
Window Functions
31(8)
Fast Fourier Transform Implementations
39(5)
Real-Data Transforms
44(3)
Appendices
47(4)
Approach 1
47(1)
Approach 2
48(1)
References
49(2)
Conventional Beamforming
51(44)
Sensor Array Characteristics
51(1)
Beamforming as Spatial Filtering
52(7)
Beamforming with a Three-Dimensional Array
54(1)
Results for One-Dimensional Arrays
54(5)
Array Gain
59(6)
DFT of a Delayed Sequence
60(3)
General Array Gain Expression for Three Dimensional Arrays and Arbitrary Noise Fields
63(1)
Array Gain for a Linear Array in Isotropic Noise
64(1)
Array Weighting
65(4)
Time-Domain Beamforming
69(15)
Interpolation Beamformers
72(5)
Tolerance Analysis
77(7)
Frequency-Domain Beamforming
84(7)
Quadrature Beamforming
91(4)
References
94(1)
Optimum Detection and Estimation in Passive Sonar
95(48)
Signal and Noise Environments
95(5)
Signal Models
95(2)
Noise Models
97(3)
Optimum Detection
100(28)
Hypothesis Testing
100(6)
Broadband Detector for a Linear Array of Sensors
106(8)
Narrowband Detector
114(9)
Modulation Detector
123(5)
Parameter Estimation
128(15)
Cramer-Rao Lower Bound
128(2)
Broadband Signal Parameter Estimation
130(4)
Narrowband Signal Parameter Estimation
134(3)
Delay Estimation
137(3)
Conclusion
140(1)
References
140(3)
Practical Implementations of Optimum Sonar Detectors and Estimators
143(44)
Adapting Optimized Receivers to Real-World Conditions
143(1)
Background Noise Estimation and Removal
144(6)
Noise-Mean Estimation
145(2)
Noise Removal
147(3)
Broadband Processing
150(8)
Effect of F (k) on Broadband Performance
150(5)
Broadband Processor Implementation
155(3)
Narrowband Processing
158(15)
Narrowband Processor Implementation
158(5)
Narrowband Processor Performance
163(10)
Modulation Processing
173(2)
Correlation Processing
175(6)
Appendix
181(6)
References
185(2)
Active Sonar
187(44)
Channel Modeling
187(3)
Signal Considerations
190(21)
Signal Ambiguity Function
191(3)
Continuous Wave Pulse
194(5)
Linear FM Pulse
199(6)
Echo Excess Equation
205(1)
Center Frequency Selection
206(5)
Range-Doppler-Shift Processing
211(20)
Background Noise-Limited Environment
211(3)
Reverberation Noise-Limited Environment
214(5)
FFT-Based Implementations
219(5)
Block Diagram of an Active Sonar Processor
224(1)
Appendix
225(3)
References
228(3)
Conventional Passive Sonar System
231(28)
Sonar System Specification
231(9)
Broadband Processing
233(2)
Narrowband Processing
235(4)
Modulation Processing
239(1)
Total Computational Rate and Input-Output Rate
240(4)
Computational Rate
241(1)
Input-Output Rate
242(2)
Sonar Signal Processing Architecture
244(11)
Overall Sonar Processing System
246(1)
Signal Processing Unit
246(1)
Signal Processor
247(8)
Composite Passive Sonar Display
255(1)
Chapter Summary
256(3)
References
257(2)
Matrix Processing for Sonar
259(56)
Computation-Intensive Sonar Signal Processing
259(19)
High-Resolution Beamforming
259(11)
Adaptive-Combiner Beamformer
270(3)
High-Resolution Spectral Estimation
273(5)
Required Matrix Operations
278(1)
Modern Matrix Techniques
278(17)
Numerical Stability
280(2)
QR Decomposition
282(6)
Singular Value Decomposition
288(1)
LU Decomposition
289(2)
Computational Requirements
291(1)
Adding a New Set of Measurements
292(3)
High-Resolution Beamformer
295(2)
Appendices
297(18)
Maximum-Likelihood Beamformer Calculations
297(2)
QR Decomposition via Givens Rotations
299(4)
QR Decomposition via Modified Gram-Schmidt
303(2)
QR Decomposition via Householder Transformations
305(2)
Singular Value Decomposition
307(3)
An Example of LU-Decomposition
310(2)
Cholesky Factorization
312(1)
References
313(2)
Mapping Matrix Algorithms onto Processor Arrays
315(32)
Processor Arrays for Matrix Algorithms
315(4)
Application-Specific Processor Arrays
316(3)
The Multimesh Graph Method
319(16)
Stages in a Mapping Technique
319(1)
Outline of the Multimesh Graph Method
320(2)
Class of Admissible Algorithms
322(2)
The Regularization Stage
324(3)
The Mapping Stage
327(2)
The Performance Evaluation Measures
329(1)
Mapping the Regularized Algorithm
329(6)
Example: Mapping the LU Decomposition Algorithm
335(12)
The Target Architecture
336(1)
The LU Decomposition Algorithm
336(2)
Mapping onto a Linear Array
338(3)
Mapping onto a Two-Dimensional Array
341(3)
References
344(3)
Recent Developments
347(12)
Wigner-Ville Distribution
347(4)
Focused Beamformer
351(3)
Bispectrum
354(2)
Conclusion
356(1)
References
356(3)
Glossary 359(4)
Index 363