Beamforming : sensor signal processing for defence by Athanassios Manikas

By Athanassios Manikas

Beamforming: Sensor sign Processing for Defence Applications offers more than a few very important study contributions all for sensor array sign processing and, specifically, with the superresolution beamformers primary to many civilian and defence functions. either area and space-time (STAP) beamforming algorithms and their software to radar structures are thought of with emphasis given to "look-down" airborne radars, artificial aperture radar (SAR), arrayed MIMO radar and a couple of universal wake-wave detection algorithms for two-dimensional SAR imagery. in addition, ocean towed arrays, which locate functions in various parts reminiscent of defence, oil and fuel exploration, and geological and marine lifestyles stories, also are thought of paying specific cognizance to receiver positional uncertainties caused by the array's versatile constitution. Array geometrical and electric uncertainties, layout of auto-calibration algorithms, beamforming "pointing" blunders uncertainties and robustification matters also are presented.

This ebook is self-contained and unified in its presentation, and comprehensively covers the various vintage and primary versions of beamforming for sensor sign processing. it really is appropriate as a complicated textbook for graduate scholars and researchers within the region of sign processing, in addition to a reference publication for engineers within the defence undefined.

Readership: Postgraduate scholars and researchers operating within the zone of sign processing to boot researchers operating within the defence undefined. The UDRC runs a sequence of brief classes in sign processing for PhD scholars and business researchers and this e-book is suggested studying

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8] R. de Lamare and R. Sampaio-Neto, “Adaptive reduced-rank processing based on joint and iterative interpolation, decimation, and filtering,” IEEE Transactions on Signal Processing, vol. 57, no. 7, pp. 2503–2514, Jul. 2009. [9] A. M. Haimovich, R. S. Blum, and L. J. Cimini, “MIMO radar with widely separated antennas,” IEEE Signal Processing Magazine, vol. 25, no. 1, pp. 116–129, Jan. 2008. page 24 February 20, 2015 13:27 Beamforming 9in x 6in b1994-ch01 Space-Time Adaptive Beamforming Algorithms for Airborne Radar Systems page 25 25 [10] J.

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