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008			211203s2022 si | s |||| 0|eng d
020			_a9789811663994
024	7		_a10.1007/978-981-16-6399-4 _2doi
040			_aTR-AnTOB _beng _erda _cTR-AnTOB
041			_aeng
050		4	_aTK5102.9
072		7	_aTJF _2bicssc
072		7	_aTEC024000 _2bisacsh
072		7	_aTJF _2thema
090			_aTK5102.9EBK
100	1		_aHao, Chengpeng. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aAdvances in Adaptive Radar Detection and Range Estimation _h[electronic resource] / _cby Chengpeng Hao, Danilo Orlando, Jun Liu, Chaoran Yin.
250			_a1st ed. 2022.
264		1	_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
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.
650		0	_aTelecommunication.
650		0	_aSignal processing.
650		0	_aControl engineering.
650		0	_aRobotics.
650		0	_aAutomation.
650	1	4	_aMicrowaves, RF Engineering and Optical Communications.
650	2	4	_aSignal, Speech and Image Processing .
650	2	4	_aControl, Robotics, Automation.
653		0	_aAdaptive signal processing
653		0	_aRadar -- Automatic detection
653		0	_aRadar
700	1		_aOrlando, Danilo. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aLiu, Jun. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aYin, Chaoran. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
710	2		_aSpringerLink (Online service)
856	4	0	_uhttps://doi.org/10.1007/978-981-16-6399-4 _3Springer eBooks _zOnline access link to the resource
942			_2lcc _cEBK