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9780471107934

Detection, Estimation, and Modulation Theory, Part III Radar-Sonar Signal Processing and Gaussian Signals in Noise

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  • ISBN13:

    9780471107934

  • ISBN10:

    047110793X

  • Edition: 1st
  • Format: Paperback
  • Copyright: 2001-10-11
  • Publisher: Wiley-Interscience
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Summary

Paperback reprint of one of the most respected classics in the history of engineering publication Together with the reprint of Part I and the new Part IV, this will be the most complete treatment of the subject available Provides a highly-readable discussion of Signal Processing and Noise Features numerous problems and illustrations to help promote understanding of the topics Contents are highly applicable to current systems

Author Biography

HARRY L. VAN TREES, ScD, was Professor of Electrical Engineering at Massachusetts Institute of Technology. He served as Chief Scientist of the U.S. Air Force, Chief Scientist of the Defense Communications Agency, and Principle Deputy Assistant Secretary of Defense for C3I. He was President of M/A-Com-Linkabit Government Systems and a cofounder of CommQuest Technologies. He is currently Distinguished Professor of Electrical Engineering and Director of the C3I Center of Excellence at George Mason University, Fairfax, Virginia.

Table of Contents

Introduction
1(7)
Review of Parts I and II
1(2)
Random Signals in Noise
3(3)
Signal Processing in Radar-Sonar Systems
6(2)
References
7(1)
Detection of Gaussian Signals in White Gaussian Noise
8(48)
Optimum Receivers
9(23)
Canonical Realization No. 1: Estimator-Correlator
15(1)
Canonical Realization No. 2: Filter-Correlator Receiver
16(1)
Canonical Realization No. 3: Filter-Squarer-Integrator (FSI) Receiver
17(2)
Canonical Realization No. 4: Optimum Realizable Filter Receiver
19(4)
Canonical Realization No. 45: State-variable Realization
23(8)
Summary: Receiver Structures
31(1)
Performance
32(14)
Closed-form Expression for μ(s)
35(3)
Approximate Error Expressions
38(4)
An Alternative Expression for μR(s)
42(2)
Performance for a Typical System
44(2)
Summary: Simple Binary Detection
46(2)
Problems
48(8)
References
54(2)
General Binary Detection: Gaussian Processes
56(43)
Model and Problem Classification
56(3)
Receiver Structures
59(7)
Whitening Approach
59(2)
Various Implementations of the Likelihood Ratio Test
61(4)
Summary: Receiver Structures
65(1)
Performance
66(2)
Four Special Situations
68(11)
Binary Symmetric Case
69(3)
Non-zero Means
72(2)
Stationary ``Carrier-symmetric'' Bandpass Problems
74(3)
Error Probability for the Binary Symmetric Bandpass Problem
77(2)
General Binary Case: White Noise Not Necessarily Present: Singular Tests
79(9)
Receiver Derivation
80(2)
Performance: General Binary Case
82(1)
Singularity
83(5)
Summary: General Binary Problem
88(2)
Problems
90(9)
References
97(2)
Special Categories of Detection Problems
99(48)
Stationary Processes: Long Observation Time
99(20)
Simple Binary Problem
100(10)
General Binary Problem
110(9)
Summary: SPLOT Problem
119(1)
Separable Kernels
119(12)
Separable Kernel Model
120(2)
Time Diversity
122(4)
Frequency Diversity
126(4)
Summary: Separable Kernels
130(1)
Low-Energy-Coherence (LEC) Case
131(6)
Summary
137(1)
Problems
137(10)
References
145(2)
Discussion: Detection of Gaussian Signals
147(20)
Related Topics
147(10)
M-ary Detection: Gaussian Signals in Noise
147(4)
Suboptimum Receivers
151(4)
Adaptive Receivers
155(1)
Non-Gaussian Processes
156(1)
Vector Gaussian Processes
157(1)
Summary of Detection Theory
157(2)
Problems
159(8)
References
164(3)
Estimation of the Parameters of a Random Process
167(21)
Parameter Estimation Model
168(2)
Estimator Structure
170(7)
Derivation of the Likelihood Function
170(5)
Maximum Likelihood and Maximum A-Posteriori Probability Equations
175(2)
Performance Analysis
177(7)
A Lower Bound on the Variance
177(2)
Calculation of J(2)(A)
179(4)
Lower Bound on the Mean-Square Error
183(1)
Improved Performance Bounds
183(1)
Summary
184(1)
Problems
185(3)
References
186(2)
Special Categories of Estimation Problems
188(46)
Stationary Processes: Long Observation Time
188(21)
General Results
189(5)
Performance of Truncated Estimates
194(11)
Suboptimum Receivers
205(3)
Summary
208(1)
Finite-State Processes
209(2)
Separable Kernels
211(2)
Low-Energy-Coherence Case
213(4)
Related Topics
217(3)
Multiple-Parameter Estimation
217(2)
Composite-Hypothesis Tests
219(1)
Summary of Estimation Theory
220(1)
Problems
221(13)
References
232(2)
The Radar-sonar Problem
234(4)
References
237(1)
Detection of Slowly Fluctuating Point Targets
238(37)
Model of a Slowly Fluctuating Point Target
238(6)
White Bandpass Noise
244(3)
Colored Bandpass Noise
247(4)
Colored Noise with a Finite State Representation
251(7)
Differential-equation Representation of the Optimum Receiver and Its Performance: I
252(1)
Differential-equation Representation of the Optimum Receiver and Its Performance: II
253(5)
Optimal Signal Design
258(2)
Summary and Related Issues
260(3)
Problems
263(12)
References
273(2)
Parameter Estimation: Slowly Fluctuating Point Targets
275(82)
Receiver Derivation and Signal Design
275(19)
Performance of the Optimum Estimator
294(14)
Local Accuracy
294(8)
Global Accuracy (or Ambiguity)
302(5)
Summary
307(1)
Properties of Time-Frequency Autocorrelation Functions and Ambiguity Functions
308(5)
Coded Pulse Sequences
313(10)
On-off Sequences
313(1)
Constant Power, Amplitude-modulated Waveforms
314(9)
Other Coded Sequences
323(1)
Resolution
323(13)
Resolution in a Discrete Environment: Model
324(2)
Conventional Receivers
326(3)
Optimum Receiver: Discrete Resolution Problem
329(6)
Summary of Resolution Results
335(1)
Summary and Related Topics
336(4)
Summary
336(1)
Related Topics
337(3)
Problems
340(17)
References
352(5)
Doppler-Spread Targets and Channels
357(56)
Model for Doppler-Spread Target (or Channel)
360(5)
Detection of Doppler-Spread Targets
365(10)
Likelihood Ratio Test
366(1)
Canonical Receiver Realizations
367(3)
Performance of the Optimum Receiver
370(2)
Classes of Processes
372(3)
Summary
375(1)
Communication Over Doppler-Spread Channels
375(23)
Binary Communications Systems: Optimum Receiver and Performance
376(2)
Performance Bounds for Optimized Binary Systems
378(7)
Suboptimum Receivers
385(11)
M-ary Systems
396(1)
Summary: Communication over Doppler-spread Channels
397(1)
Parameter Estimation: Doppler-Spread Targets
398(3)
Summary: Doppler-Spread Targets and Channels
401(1)
Problems
402(11)
References
411(2)
Range-Spread Targets and Channels
413(31)
Model and Intuitive Discussion
415(4)
Detection of Range-Spread Targets
419(2)
Time-Frequency Duality
421(16)
Basic Duality Concepts
422(2)
Dual Targets and Channels
424(3)
Applications
427(10)
Summary: Range-Spread Targets
437(1)
Problems
438(6)
References
443(1)
Doubly-Spread Targets and Channels
444(114)
Model for a Doubly-Spread Target
446(13)
Basic Model
446(8)
Differential-Equation Model for a Doubly-Spread Target (or Channel)
454(5)
Model Summary
459(1)
Detection in the Presence of Reverberation or Clutter (Resolution in a Dense Environment)
459(23)
Conventional Receiver
461(11)
Optimum Receivers
472(8)
Summary of the Reverberation Problem
480(2)
Detection of Doubly-Spread Targets and Communication over Doubly-Spread Channels
482(43)
Problem Formulation
482(5)
Approximate Models for Doubly-Spread Targets and Doubly-Spread Channels
487(15)
Binary Communication over Doubly-Spread Channels
502(14)
Detection under LEC Conditions
516(5)
Related Topics
521(4)
Summary of Detection of Doubly-Spread Signals
525(1)
Parameter Estimation for Doubly-Spread Targets
525(11)
Estimation under LEC Conditions
527(3)
Amplitude Estimation
530(3)
Estimation of Mean Range and Doppler
533(3)
Summary
536(1)
Summary of Doubly-Spread Targets and Channels
536(2)
Problems
538(20)
References
553(5)
Discussion
558(7)
Summary: Signal Processing in Radar and Sonar Systems
558(5)
Optimum Array Processing
563(1)
Epilogue
564(1)
References
564(1)
Appendix: Complex Representation of Bandpass Signals, Systems, and Processes 565(40)
A.1 Deterministic Signals
566(6)
A.2 Bandpass Linear Systems
572(4)
A.2.1 Time-Invariant Systems
572(2)
A.2.2 Time-Varying Systems
574(1)
A.2.3 State-Variable Systems
574(2)
A.3 Bandpass Random Processes
576(22)
A.3.1 Stationary Processes
576(8)
A.3.2 Nonstationary Processes
584(5)
A.3.3 Complex Finite-State Processes
589(9)
A.4 Summary
598(1)
A.5 Problems
598(7)
References
603(2)
Glossary 605(14)
Author Index 619(4)
Subject Index 623

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