Classical and Modern Direction-of-Arrival Estimation

Classical and Modern Direction-of-Arrival Estimation

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Description

Classical and Modern Direction of Arrival Estimation contains both theory and practice of direction finding by the leading researchers in the field. This unique blend of techniques used in commercial DF systems and state-of-the art super-resolution methods is a valuable source of information for both practicing engineers and researchers. Key topics covered are:



Classical methods of direction finding
Practical DF methods used in commercial systems
Calibration in antenna arrays
Array mapping, fast algorithms and wideband processing
Spatial time-frequency distributions for DOA estimation
DOA estimation in threshold region
Higher order statistics for DOA estimation
Localization in sensor networks and direct position estimation
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Product details

  • Hardback | 456 pages
  • 157.48 x 231.14 x 25.4mm | 703.06g
  • Academic Press Inc
  • San Diego, United States
  • English
  • Approx. 169 illustrations; Illustrations, unspecified
  • 0123745241
  • 9780123745248
  • 2,159,551

Table of contents

Wireless Direction-Finding Fundamentals; Practical Aspects of Design and Application of Direction-Finding Systems; Calibration in Array Processing; Narrowband and Wideband DOA Estimation for Uniform and Nonuniform Linear Arrays; Search-Free DOA Estimation Algorithms for Nonuniform Sensor Arrays; Spatial Time-Frequency Distributions and DOA Estimation; DOA Estimation in the Small-Sample Threshold Region; High-Resolution DOA Estimation with Higher-Order Statistics; Source and Node Localization in Sensor Networks; Direct Position Determination: A Single-Step Emitter Localization Approach
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About T. Engin Tuncer

Temel Engin Tuncer is a Professor in Electrical and Electronics Engineering Department of Middle East Technical University, Ankara, Turkey. His research is focused on sensor array and multichannel signal processing, statistical signal processing and communications. He has a comprehensive experience in direction finding and localization systems. His recent research focuses on beamforming in multi-antenna wireless systems. He is currently the director of the Sensor Array and Multichannel Signal Processing Laboratory in METU and also acts as the general manager of a company, ATARGET, that he has founded. Ben Friedlander is an internationally known expert in the areas of statistical signal processing and its applications to communications and surveillance systems. He has extensive experience spanning over three decades in array processing and direction finding. In recent years his work focused on the use of multiple antennas for wireless communications. Currently he is a professor of electrical engineering at the University of California at Santa Cruz.
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