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008			230121s2022 si | s |||| 0|eng d
020			_a9789811663994
024	7		_a10.1007/978-981-16-6399-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5102.9 _b2022 EB
100	1		_aHao, Chengpeng, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686070 _d1975-
245	1	0	_aAdvances in Adaptive Radar Detection and Range Estimation _cby Chengpeng Hao, Danilo Orlando, Jun Liu, Chaoran Yin
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XI, 218 páginas) _b80 ilustraciones, 14 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_aIntroduction -- Adaptive Radar Detection: Classical Approach -- Knowledge-Aided Detectors -- Detectors with Range Estimation Capabilities -- Knowledge-Aided Detectors with Enhanced Range Estimation Capabilities -- Conclusions.
520			_aThis book provides a comprehensive and systematic framework for the design of adaptive architectures, which take advantage of the available a priori information to enhance the detection performance. Moreover, this framework also provides guidelines to develop decision schemes capable of estimating the target position within the range bin. To this end, the readers are driven step-by-step towards those aspects that have to be accounted for at the design stage, starting from the exploitation of system and/or environment information up to the use of target energy leakage (energy spillover), which allows inferring on the target position within the range cell under test. In addition to design issues, this book presents an extensive number of illustrative examples based upon both simulated and real-recorded data. Moreover, the performance analysis is enriched by considerations about the trade-off between performances and computational requirements. Finally, this book could be a valuable resource for PhD students, researchers, professors, and, more generally, engineers working on statistical signal processing and its applications to radar systems.
988			_aSpringer_Engineering_2022
650		7	_2embne _9162764 _aProcesadores digitales de señal
650		7	_2embne _9139959 _aRadar
700	1		_9686071 _aOrlando, Danilo _eautor
700	1		_9686072 _aLiu, Jun, _d1968- _eautor
776	0	8	_iPrinted edition: _z9789811663987
776	0	8	_iPrinted edition: _z9789811664007
776	0	8	_iPrinted edition: _z9789811664014
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-6399-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI