Sensor Array Signal Processing

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ISBN 9780849311956
Cat# 1195
 

Features

  • Provides concise, quantitative information on the processing of wavefields for localization of point sources, imaging of inhomogeneous medium, and mapping of reflectors
  • Gives a clear description of the multipath environment
  • Describes the unique properties of a circular array-a subject often neglected in other texts
  • Discusses the use of coded signals and shows how to exploit them
  • Devotes two chapters to array processing for imaging
  • Summary

    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.

    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 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