Sensor array signal processing /
This introduction and reference to sensor array signal processing is written to be widely applicable and useable for those working or interested in medical imaging, astronomy, radar, communications, sonar, seismology, and any field that studies propagating wavefields. Emphasizes the underlying princ...
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| Format: | eBook |
| Language: | English |
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Boca Raton, Fla. :
CRC Press,
[2001]
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| Online Access: | CRCnetBASE Publisher description |
Table of Contents:
- An Overview of Wavefields
- Types of wavefields and the governing equations
- Wavefield in open space
- Wavefield in bounded space
- Stochastic wavefield
- Multipath propagation
- Propagation through random medium
- Sensor Array Systems
- Uniform linear array (ULA)
- Planar array
- Broadband sensor array
- Source and sensor arrays
- Frequency Wavenumber Processing
- Digital filters in the [omega]-k domain
- Mapping of 1D into 2D filters
- Multichannel Wiener filters
- Wiener filters for ULA and UCA
- Predictive noise cancellation
- Source Localization: Frequency Wavenumber Spectrum
- Frequency wavenumber spectrum
- Beamformation
- Capon's [omega]-k spectrum
- Maximum entropy [omega]-k spectrum
- Source Localization: Subspace Methods
- Subspace methods (Narrowband)
- Subspace methods (Broadband)
- Coded signals
- Array calibration
- Source in bounded space
- Source Estimation
- Wiener filters
- Minimum variance (Capon method)
- Adaptive beamformation
- Beamformation with coded signals
- Multipath channel
- Tomographic Imaging
- Nondiffracting radiation
- Diffracting radiation
- Broadband illumination
- Reflection tomography
- Object shape estimation
- Imaging by Wavefield Extrapolation
- Migration
- Exploding reflector model
- Extrapolation in [omega]-k plane
- Focused beam
- Estimation of wave speed.