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Beamformingsensor signal processing ...
~
Manikas, Athanassios.
Beamformingsensor signal processing for defence applications /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Beamformingeditor, Athanassios Manikas.
其他題名:
sensor signal processing for defence applications /
其他作者:
Manikas, Athanassios.
出版者:
London ;Imperial College Press,2015.
面頁冊數:
1 online resource (xviii, 292 p.) :ill.
標題:
Radar transmitters.
電子資源:
http://www.worldscientific.com/worldscibooks/10.1142/P898#t=toc
ISBN:
9781783262755 (electronic bk.)
Beamformingsensor signal processing for defence applications /
Beamforming
sensor signal processing for defence applications /[electronic resource] :editor, Athanassios Manikas. - London ;Imperial College Press,2015. - 1 online resource (xviii, 292 p.) :ill. - Communications and signal processing ;vol. 5. - Communications and signal processing (London, England) ;v. 5..
Includes bibliographical references and index.
Space-time adaptive beamforming algorithms for airborne radar systems /Rodrigo de Lamare --
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.
ISBN: 9781783262755 (electronic bk.)
LCCN: 2014044137Subjects--Topical Terms:
743797
Radar transmitters.
LC Class. No.: TK6587 / .M26 2015
Dewey Class. No.: 623.7/348
Beamformingsensor signal processing for defence applications /
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Space-time adaptive beamforming algorithms for airborne radar systems /
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Transmit beamforming for forward-looking space-time radars /
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Digital beamforming for synthetic aperture radar /
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Karen Mak and Athanassios Manikas --
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Arrayed MIMO radar: multi-target parameter estimation for beamforming /
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Harry Commin, Kai Luo and Athanassios Manikas --
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Beamforming for wake wave detection and estimation -- an overview /
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Towed arrays: channel estimation, tracking and beamforming /
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Vidhya Sridhar, Marc Willerton and Athanassios Manikas --
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Array uncertainties and auto-calibration /
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Marc Willerton, Evangelos Venieris and Athanassios Manikas --
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Robust beamforming to pointing errors /
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Jie Zhuang and Athanassios Manikas.
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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.
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http://www.worldscientific.com/worldscibooks/10.1142/P898#t=toc
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