Sensors arrays are used in diverse applications across a broad range of disciplines. Regardless of the application, however, the tools of sensor array signal processing remain the same. Furthermore, whether your interest is in acoustic, seismic, mechanical, or electromagnetic wavefields, they all have a common mathematical framework. Mastering this framework and those tools lays a strong foundation for more specialized study and research. Sensor Array Signal Processing helps build that foundation. It unravels the underlying principles of the subject without reference to any particular application. Instead, the author focuses on the common threads that exist in wavefield analysis. After introducing the basic equations governing different wavefields, the treatment includes topics from simple beamformation, spatial filtering, and high resolution DOA estimation to imaging and reflector mapping. It studies different types of sensor configurations, but focuses on the uniform linear and circular arrays-the most useful configurations for understanding array systems in practice. Unique in its approach, depth, and quantitative focus, Sensor Array Signal Processing offers the ideal starting point and an outstanding reference for those working or interested in medical imaging, astronomy, radar, communications, sonar, seismology-any field that studies propagating wavefields. Its clear exposition, numerical examples, exercises, and wide applicability impart a broad picture of array signal processing unmatched by any other text on the market.
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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 w-k Domain
Mapping of 1-D into 2-D Filters
Multichannel Wiener Filters
Wiener Filters for ULA and UCA
Predictive Noise Cancellation
SOURCE LOCALIZATION: FREQUENCY WAVENUMBER SPECTRUM
Frequency Wavenumber Spectrum
Beamformation
Capon's w-k Spectrum
Maximum Entropy w-k Spectrum
SOURCE LOCALIZATION: SUBSPACE METHODS
Subspace Methods (Narrowband)
Subspace Methods (Broadband)
Coded Signals
Array Calibration
Source in Bounded Space
ESTIMATION
Weiner Filters
Minimum Variance (Capon Method)
Adaptive Beamformation
Beamformation with Coded Signals
Multipath Channel
TOMOGRAPHIC IMAGING
Non-Diffracting Radiation
Diffracting Radiation
Broadband Iluumination
Reflection Tomography
Object Shape Estimation
IMAGING BY WAVEFIELD EXTRAPOLATION
Migration
Exploding Reflector Model
Extrapolation in w-k plane
Focused Beam
Estimation of Wave Speed
INDEX
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