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Adaptive high-resolution sensor waveform design for tracking

By: Kyriakides, Ioannis.
Contributor(s): Morrell, Darryl | Papandreou-Suppappola, Antonia.
Material type: materialTypeLabelBookSeries: Synthesis digital library of engineering and computer science: ; Synthesis lectures on algorithms and software in engineering: # 4.Publisher: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2011Description: 1 electronic text (viii, 101 p.) : ill., digital file.ISBN: 9781608455775 (electronic bk.).Subject(s): Wave functions -- Mathematical models | Sensor networks -- Mathematical models | Automatic tracking | Multiple target tracking | Particle filtering | Radar tracking | Waveform design | Adaptive waveform selectionDDC classification: 681.2 Online resources: Abstract with links to resource Also available in print.
Contents:
1. Introduction -- Radar tracking with waveform design and waveform selection -- Review of advances in waveform design and adaptive waveform selection for radar target tracking -- Organization --
2. Radar waveform design -- LFM sequences -- Björck CAZAC sequences -- Multicarrier phase-coded Björck CAZAC sequences -- AF surface of MCPC Björck CAZAC sequences --
3. 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 --
4. Single target tracking with LFM and CAZAC sequences -- Motion model -- SIR particle filter -- Likelihood PF -- Simulation results and discussion --
5. 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 --
6. 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.
Abstract: Recent 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.
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E books E books PK Kelkar Library, IIT Kanpur
Available EBKE295
Total holds: 0

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

Part of: Synthesis digital library of engineering and computer science.

Series from website.

Includes bibliographical references (p. 95-99).

1. Introduction -- Radar tracking with waveform design and waveform selection -- Review of advances in waveform design and adaptive waveform selection for radar target tracking -- Organization --

2. Radar waveform design -- LFM sequences -- Björck CAZAC sequences -- Multicarrier phase-coded Björck CAZAC sequences -- AF surface of MCPC Björck CAZAC sequences --

3. 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 --

4. Single target tracking with LFM and CAZAC sequences -- Motion model -- SIR particle filter -- Likelihood PF -- Simulation results and discussion --

5. 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 --

6. 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.

Abstract freely available; full-text restricted to subscribers or individual document purchasers.

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Recent 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.

Also available in print.

Title from PDF t.p. (viewed on December 9, 2010).

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