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001 978-3-031-01511-3
003 DE-He213
005 20240730164832.0
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008 220601s2009 sz | s |||| 0|eng d
020 _a9783031015113
_9978-3-031-01511-3
024 7 _a10.1007/978-3-031-01511-3
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC067000
_2bisacsh
072 7 _aTJF
_2thema
072 7 _aUYS
_2thema
082 0 4 _a621.382
_223
100 1 _aSira, Sandeep Prasad.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986289
245 1 0 _aAdvances in Waveform-Agile Sensing for Tracking
_h[electronic resource] /
_cby Sandeep Prasad Sira, Antonia Papanreou-Suppappola, Darryl Morrell.
250 _a1st ed. 2009.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2009.
300 _aIX, 74 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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 radarand 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.
650 0 _aSignal processing.
_94052
650 1 4 _aSignal, Speech and Image Processing.
_931566
700 1 _aPapanreou-Suppappola, Antonia.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986290
700 1 _aMorrell, Darryl.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986291
710 2 _aSpringerLink (Online service)
_986292
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031003837
776 0 8 _iPrinted edition:
_z9783031026393
830 0 _aSynthesis Lectures on Algorithms and Software in Engineering,
_x1938-1735
_986293
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01511-3
912 _aZDB-2-SXSC
942 _cEBK
999 _c85932
_d85932