Adaptive high-resolution sensor waveform design for tracking
By: Ioannis Kyriakides, Darryl Morrell, Antonia Papandreou-Suppappola
Contributors: Morrell, Darryl; Papandreou-Suppappola, Antonia
Series: Synthesis lectures on algorithms and software in engineering -- # 4
Publisher: Morgan & Claypool
Published: 2011
Place of publication: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA)
Language: eng
Format: [electronic resource] /
ISBN-13: 9781608455775; 9781608455768
Subjects: Mathematical models; Sensor networks; Wave functions; Automatic tracking
Other titles: Synthesis digital library of engineering and computer science.
Description: 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.
Notes: Part of: Synthesis digital library of engineering and computer science.

Series from website.

Includes bibliographical references (p. 95-99).

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Table of contents: title: 1. Introduction; title: Radar tracking with waveform design and waveform selection; title: Review of advances in waveform design and adaptive waveform selection for radar target tracking; title: Organization; title: 2. Radar waveform design; title: LFM sequences; title: Björck CAZAC sequences; title: Multicarrier phase-coded Björck CAZAC sequences; title: AF surface of MCPC Björck CAZAC sequences; title: 3. Target tracking with a particle filter; title: Tracking methods and models; title: Bayesian inference; title: The particle filter algorithm; title: The degeneracy effect; title: Choice of importance density; title: Resampling; title: Tracking multiple targets: the independent partition particle filter; title: Tracking with radar measurements; title: Radar signal processing; title: 4. Single target tracking with LFM and CAZAC sequences; title: Motion model; title: SIR particle filter; title: Likelihood PF; title: Simulation results and discussion; title: 5. Multiple target tracking; title: Model for tracking multiple targets; title: Motion model; title: Measurement model; title: Return signal and matched filter statistic; title: Measurement likelihood; title: Independent partition likelihood particle filter algorithm; title: Likelihood partition sampling; title: Particle weighting; title: Scheme for adaptive waveform selection using IPLPF; title: Simulation results and discussion; title: 6. Conclusions; title: A. Independence of single target matched filter statistics; title: B. Independence of multiple target matched filter statistics; title: C. Sampling importance resampling particle filter sample code; title: D. Likelihood particle filter sample code; title: Bibliography; title: Authors' biographies.