000			05193nam a2200661 i 4500
001			6812914
003			IEEE
005			20200413152859.0
006			m eo d
007			cr cn |||m|||a
008			101209s2011 caua foab 000 0 eng d
020			_a9781608455775 (electronic bk.)
020			_z9781608455768 (pbk.)
024	7		_a10.2200/S00311ED1V01Y201011ASE004 _2doi
035			_a(CaBNVSL)gtp00545392
035			_a(OCoLC)690026768
040			_aCaBNVSL _cCaBNVSL _dCaBNVSL
050		4	_aTK7872.D48 _bK972 2011
082	0	4	_a681.2 _222
100	1		_aKyriakides, Ioannis.
245	1	0	_aAdaptive high-resolution sensor waveform design for tracking _h[electronic resource] / _cIoannis Kyriakides, Darryl Morrell, Antonia Papandreou-Suppappola.
260			_aSan Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : _bMorgan & Claypool, _cc2011.
300			_a1 electronic text (viii, 101 p.) : _bill., digital file.
490	1		_aSynthesis lectures on algorithms and software in engineering, _x1938-1735 ; _v# 4
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat Reader.
500			_aPart of: Synthesis digital library of engineering and computer science.
500			_aSeries from website.
504			_aIncludes bibliographical references (p. 95-99).
505	0		_a1. Introduction -- Radar tracking with waveform design and waveform selection -- Review of advances in waveform design and adaptive waveform selection for radar target tracking -- Organization --
505	8		_a2. Radar waveform design -- LFM sequences -- Björck CAZAC sequences -- Multicarrier phase-coded Björck CAZAC sequences -- AF surface of MCPC Björck CAZAC sequences --
505	8		_a3. Target tracking with a particle filter -- Tracking methods and models -- Bayesian inference -- The particle filter algorithm -- The degeneracy effect -- Choice of importance density -- Resampling -- Tracking multiple targets: the independent partition particle filter -- Tracking with radar measurements -- Radar signal processing --
505	8		_a4. Single target tracking with LFM and CAZAC sequences -- Motion model -- SIR particle filter -- Likelihood PF -- Simulation results and discussion --
505	8		_a5. Multiple target tracking -- Model for tracking multiple targets -- Motion model -- Measurement model -- Return signal and matched filter statistic -- Measurement likelihood -- Independent partition likelihood particle filter algorithm -- Likelihood partition sampling -- Particle weighting -- Scheme for adaptive waveform selection using IPLPF -- Simulation results and discussion --
505	8		_a6. Conclusions -- A. Independence of single target matched filter statistics -- B. Independence of multiple target matched filter statistics -- C. Sampling importance resampling particle filter sample code -- D. Likelihood particle filter sample code -- Bibliography -- Authors' biographies.
506	1		_aAbstract freely available; full-text restricted to subscribers or individual document purchasers.
510	0		_aCompendex
510	0		_aINSPEC
510	0		_aGoogle scholar
510	0		_aGoogle book search
520	3		_aRecent innovations in modern radar for designing transmitted waveforms, coupled with new algorithms for adaptively selecting the waveform parameters at each time step, have resulted in improvements in tracking performance. Of particular interest are waveforms that can be mathematically designed to have reduced ambiguity function sidelobes as their use can lead to an increase in the target state estimation accuracy Moreover, adaptively positioning the sidelobes can reveal weak target returns by reducing interference from stronger targets. The manuscript provides an overview of recent advances in the design of multicarrier phasecoded waveforms based on Bjorck constant-amplitude zero-autocorrelation (CAZAC) sequences for use in an adaptive waveform selection scheme for multiple target tracking. The adaptive waveform design is formulated using sequential Monte Carlo techniques that need to be matched to the highly resolution measurements. The work will be of interest to both practitioners and researchers in radar as well as to researchers in other applications where high resolution measurements can have significant benefits.
530			_aAlso available in print.
588			_aTitle from PDF t.p. (viewed on December 9, 2010).
650		0	_aWave functions _xMathematical models.
650		0	_aSensor networks _xMathematical models.
650		0	_aAutomatic tracking.
653			_aMultiple target tracking
653			_aParticle filtering
653			_aRadar tracking
653			_aWaveform design
653			_aAdaptive waveform selection
700	1		_aMorrell, Darryl.
700	1		_aPapandreou-Suppappola, Antonia.
776	0	8	_iPrint version: _z9781608455768
830		0	_aSynthesis digital library of engineering and computer science.
830		0	_aSynthesis lectures on algorithms and software in engineering, _x1938-1735 ; _v# 4.
856	4	2	_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6812914
999			_c561795 _d561795