000			03636nam a22004215i 4500
999			_c387032 _d387032
001			387032
003			ES-MaUEC
005			20230204130917.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			230204s2009 sz | s |||| 0|eng d
020			_a9783031015113
024	7		_a10.1007/978-3-031-01511-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7872.D48 _b2009 EB
100	1		_aSira, Sandeep Prasad _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686549
245	1	0	_aAdvances in Waveform-Agile Sensing for Tracking _cby Sandeep Prasad Sira, Antonia Papanreou-Suppappola, Darryl Morrell
250			_a1st edition 2009
264		1	_aCham _bSpringer International Publishing _c2009
300			_a1 recurso en línea (IX, 74 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Algorithms and Software in Engineering _x1938-1735
505	0		_aWaveform-Agile Target Tracking Application Formulation -- Dynamic Waveform Selection with Application to Narrowband and Wideband Environments -- Dynamic Waveform Selection for Tracking in Clutter -- Conclusions -- CRLB Evaluation for Gaussian Envelope GFM Chirp from the Ambiguity Function -- CRLB Evaluation from the Complex Envelope.
520			_aRecent advances in sensor technology and information processing afford a new flexibility in the design of waveforms for agile sensing. Sensors are now developed with the ability to dynamically choose their transmit or receive waveforms in order to optimize an objective cost function. This has exposed a new paradigm of significant performance improvements in active sensing: dynamic waveform adaptation to environment conditions, target structures, or information features. The manuscript provides a review of recent advances in waveform-agile sensing for target tracking applications. A dynamic waveform selection and configuration scheme is developed for two active sensors that track one or multiple mobile targets. A detailed description of two sequential Monte Carlo algorithms for agile tracking are presented, together with relevant Matlab code and simulation studies, to demonstrate the benefits of dynamic waveform adaptation. The work will be of interest not only to practitioners of radar and sonar, but also other applications where waveforms can be dynamically designed, such as communications and biosensing. Table of Contents: Waveform-Agile Target Tracking Application Formulation / Dynamic Waveform Selection with Application to Narrowband and Wideband Environments / Dynamic Waveform Selection for Tracking in Clutter / Conclusions / CRLB Evaluation for Gaussian Envelope GFM Chirp from the Ambiguity Function / CRLB Evaluation from the Complex Envelope.
988			_aSynthesis Collection of Technology_2009
650		7	_2embne _9441179 _aRedes de sensores inalámbricas
700	1		_aPapandreou-Suppappola, Antonia _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686550
700	1		_aMorrell, Darryl _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686551
776	0	8	_iPrinted edition: _z9783031003837
776	0	8	_iPrinted edition: _z9783031026393
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01511-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eIG _zSI