Adaptive High-Resolution Sensor Waveform Design for Tracking

Adaptive High-Resolution Sensor Waveform Design for Tracking

Ioannis Kyriakides, Darryl Morrell, Antonia Papandreou-Suppappola
ISBN: 9781608455768 | PDF ISBN: 9781608455775
Copyright © 2010 | 109 Pages | Publication Date: 01/01/2010

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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 phase-coded waveforms based on Bjorck constant-amplitude zero-autocorrelation (CAZAC) sequences for use in an adaptive waveform selection scheme for mutliple target tracking. The adaptive waveform design is formulated using sequential Monte Carlo techniques that need to be matched to the high 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.

Table of Contents: Introduction / Radar Waveform Design / Target Tracking with a Particle Filter / Single Target tracking with LFM and CAZAC Sequences / Multiple Target Tracking / Conclusions

Table of Contents

Introduction
Radar Waveform Design
Target Tracking with a Particle Filter
Single Target tracking with LFM and CAZAC Sequences
Multiple Target Tracking
Conclusions

About the Author(s)

Ioannis Kyriakides, University of Nicosia, Cyprus

Darryl Morrell, Arizona State University

Antonia Papandreou-Suppappola , Arizona State University, Polytechnic Campus

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