Beamforming: Sensor Signal Processing for Defence Applications presents a range of important research contributions concerned with sensor array signal processing and, in particular, with the superresolution beamformers fundamental to many civilian and defence applications. Both space and space-time (STAP) beamforming algorithms and their application to radar systems are considered with emphasis given to 'look-down' airborne radars, synthetic aperture radar (SAR), arrayed MIMO radar and a number of common wake-wave detection algorithms for two-dimensional SAR imagery. Furthermore, ocean towed arrays, which find applications in a variety of areas such as defence, oil and gas exploration, and geological and marine life studies, are also considered paying particular attention to receiver positional uncertainties resulting from the array's flexible structure. Array geometrical and electrical uncertainties, design of auto-calibration algorithms, beamforming 'pointing' error uncertainties and robustification issues are also presented.
This book is self-contained and unified in its presentation, and comprehensively covers some of the classic and fundamental models of beamforming for sensor signal processing. It is suitable as an advanced textbook for graduate students and researchers in the area of signal processing, as well as a reference book for engineers in the defence industry.
Edited by:
Athanassios Manikas (Imperial College London Uk) Imprint: Imperial College Press Country of Publication: United Kingdom Volume: 5 Dimensions:
Height: 229mm,
Width: 152mm,
Spine: 20mm
Weight: 635g ISBN:9781783262748 ISBN 10: 1783262745 Series:Communications and Signal Processing Pages: 312 Publication Date:20 March 2015 Audience:
College/higher education
,
Professional and scholarly
,
Further / Higher Education
,
Undergraduate
Format:Hardback Publisher's Status: Active
Transmit Beamforming for Forward-Looking STAP Radar: Abstract; Introduction; Introduction to STAP; Adaptive Transmit Diversity STAP; Ambiguous Range Transmit Nulling; Summary; Space-Time Adaptive Beamforming Algorithms for Airborne Radar Systems: Introduction; System and Signal Models; Conventional Beamforming Algorithms; Low-Rank Beamforming Algorithms; Sparsity-Aware Beamforming Algorithms; Knowledge-Aided Beamforming Algorithms; Simulations; Concluding Remarks; Introduction to Digital Beamforming for Synthetic Aperture Radar: Abstract; Introduction; Introduction to SAR; SIMO SAR; MIMO SAR; Summary; Arrayed MIMO Radar; Array Beamforming Robust to Pointing Errors; Auto-Array Calibration.