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Sensor Array Signal Processing
Contents
Chapter One
An Overview of Wavefields
1.1 Types of wavefields and the governing equations
1.2 Wavefield in open space
1.3 Wavefield in bounded space
1.4 Stochastic wavefield
1.5 Multipath propagation
1.6 Propagation through random medium
1.7 Exercises
Chapter Two
Sensor Array Systems
2.1 Uniform linear array (ULA)
2.2 Planar array
2.3 Broadband sensor array
2.4 Source and sensor arrays
2.5 Exercises
Chapter Three
Frequency Wavenumber Processing
3.1 Digital filters in the ω-k domain
3.2 Mapping of 1D into 2D filters
3.3 Multichannel Wiener filters
3.4 Wiener filters for ULA and UCA
3.5 Predictive noise cancellation
3.6 Exercises
Chapter Four
Source Localization: Frequency Wavenumber Spectrum
4.1 Frequency wavenumber spectrum
4.2 Beamformation
4.3 Capon's ω-k spectrum
4.4 Maximum entropy ω-k spectrum
4.5 Exercises
© 2001 by CRC Press LLC
Chapter Five
Source Localization: Subspace Methods
5.1 Subspace methods (Narrowband)
5.2 Subspace methods (Broadband)
5.3 Coded signals
5.4 Array calibration
5.5 Source in bounded space
5.6 Exercises
Chapter Six
Source Estimation
6.1 Wiener filters
6.2 Minimum variance (Capon method)
6.3 Adaptive beamformation
6.4 Beamformation with coded signals
6.5 Multipath channel
6.6 Exercises
Chapter Seven
Tomographic Imaging
7.1 Nondiffracting radiation
7.2 Diffracting radiation
7.3 Broadband illumination
7.4 Reflection tomography
7.5 Object shape estimation
7.6 Exercises
Chapter Eight
Imaging by Wavefield Extrapolation
8.1 Migration
8.2 Exploding reflector model
8.3 Extrapolation in ω-k plane
8.4 Focused beam
8.5 Estimation of wave speed
8.6 Exercises

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