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Sensor array signal processing

Author: Prabhakar S Naidu
Publisher: Boca Raton : CRC Press, ©2009.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Summary:
"Sensor Array Signal Processing, Second Edition covers a wide range of interrelated topics in array processing to provide an introduction to the field that one will not find in the literature. The book introduces new developments in the use of sensors in wireless networks and the use of distributed sensors for localization. It unravels layers of complexity to explore underlying basic principles of array signal  Read more...
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Document Type: Book
All Authors / Contributors: Prabhakar S Naidu
ISBN: 9781420071900 1420071904
OCLC Number: 172980293
Description: xxi, 533 pages : illustrations ; 24 cm
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 ExercisesChapter Two: Sensor Array Systems 2.1 Uniform linear array (ULA) 2.2 Planar array 2.3 Distributed sensor array 2.4 Broadband sensor array 2.5 Source and sensor arrays 2.6 Multi-component sensor array2.7 ExercisesChapter Three: Frequency Wavenumber Processing 3.1 Digital filters in the w-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 Spectrum4.1 Frequency wavenumber spectrum 4.2 Beamformation 4.3 Capon's w-k spectrum 4.4 Maximum entropy w-k spectrum 4.5 Doppler-Azimuth Processing4.6 ExercisesChapter Five: Source Localization: Subspace Methods 5.1 Subspace methods (Narrowband) 5.2 Subspace methods (Broadband) 5.3 Communication Signals 5.4 Array calibration5.5 Source in Bounded Space 5.6 Azimuth/Elevation Estimation5.7 Exercises Chapter Six: Source Estimation 6.1 Wiener filters 6.2 Minimum variance (Capon method) 6.3 Adaptive beamformation 6.4 Wideband adaptive beamformation6.5 Frequency Invariant Beamformation 6.6 Exercises Chapter Seven: Multipath Channel 7.1 Overlapping Echos7.2 Discrete Channel7.3 Scatter Channel7.4 Channel Estimation7.5 Exercises Chapter Eight: Wireless Communication 8.1 Beamformation8.2 Multipath Communication Channel8.3 Symbol Estimation8.4 ExercisesChapter Nine: Tomographic Imaging 9.1 Nondiffracting radiation 9.2 Diffracting radiation 9.3 Broadband illumination 9.4 Reflection tomography 9.5 Object shape estimation 9.6 Exercises Chapter Ten: Imaging by Wavefield Extrapolation 10.1 Migration 10.2 Exploding reflector model 10.3 Extrapolation in w-k plane 10.4 Focused beam 10.5 Estimation of wave speed 10.6 Exercises
Responsibility: Prabhakar S. Naidu.

Abstract:

Covers a range of interrelated topics in array processing to provide an introduction to the field. This book reviews developments in the use of sensors in wireless networks and in the use of  Read more...

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