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Waveform Diversity: Theory & Applications
CITATION
Pillai, S;
Li, Ke Yong;
Selesnick, Ivan; and
Himed, Braham
.
Waveform Diversity: Theory & Applications
.
US
: McGraw-Hill Professional, 2011.
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Waveform Diversity: Theory & Applications
Authors:
S Pillai
,
Ke Yong Li
,
Ivan Selesnick
and
Braham Himed
Published:
April 2011
eISBN:
9780071622905 007162290X
|
ISBN:
9780071622899
Open eBook
Book Description
Table of Contents
Contents
List of Abbreviations
1 Introduction
1.1 Introduction
1.2 Organization of the Book and Notations
References
2 Waveform Design and Matched Filtering
2.1 Introduction
2.2 Matched Filter Receivers
2.2.1 Matched Filter Receivers in White Noise
2.2.2 Matched Filter Receivers in Colored Noise
2.3 Chirp and Pulse Compression
2.4 Joint Transmitter-Receiver Design in Noise
2.5 Joint Time-Bandwidth Optimization
2.6 Transform of a Chirp Signal
References
3 New Methods for Optimum Transmitter and Receiver Design
3.1 Introduction
3.2 Transmitter Waveform Design
3.2.1 Transmitter Threshold Energy
3.3 Method I: Desired Band Approach
3.3.1 Threshold Energy
3.3.2 Energy-Bandwidth Tradeoff
3.3.3 Simultaneous Savings on Energy and Bandwidth
3.4 Method II: Whitening Approach
3.4.1 Energy-Bandwidth Tradeoff
3.5 Optimization of a Functional
References
4 Constant Envelope Transmit Signals
4.1 Convex Sets
4.1.1 Methods of Alternating Projections
4.1.2 Relaxed Projection Operators
4.2 Unimodular Sequences Using Cyclic Algorithms
4.2.1 General Unimodular Sequences
4.3 Constant Envelope Signals with Prescribed Discrete Fourier Transform Magnitude
4.4 Pulse Compression and Huffman Code
References
5 Optimum Waveform Design
5.1 Point Target in White Noise and Arbitrary Clutter
5.1.1 Point Target, White Noise, White Clutter (Flat-Flat-Flat Case)
5.1.2 Finite Transmit Bandwidth
5.1.3 Optimality of Chirp Waveforms
5.2 Optimum Tx-Rx: Causal Case
5.2.1 Noise Only Case
5.2.2 High Clutter Case
5.2.3 General Case: Clutter and Noise
5.3 Rational all-Pass Filters
References
6 Discrete-Time Waveform Design
6.1 Matched Filter
6.1.1 Optimum Causal Matched Filter
6.2 Tx-Rx Design in Colored Noise and Interference
6.3 Multichannel Transmit Signal Design
References
7 Sparsity-Based Receivers
7.1 Introduction
7.2 Majorization-Minimization
7.2.1 The Landweber Iteration
7.3 Soft-Thresholding
7.3.1 Iterated Soft-Thresholding Algorithm
7.3.2 Fast ISTA (FISTA)
7.4 Nonlinear Receiver as a Bayesian Estimator
7.5 Sparsity-Based Range-Doppler Processing
7.6 Space-Time Adaptive Processing
7.7 l[sub(2)] Regularization
References
Index