Adaptive High-Resolution Sensor Waveform Design for Tracking

Fr. 45.95
ISBN: 978-3-031-00387-5
+ -

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

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

Autor Kyriakides, Ioannis / Papandreou-Suppappola, Antonia / Morrell, Darryl
Verlag Springer International Publishing
Einband Kartonierter Einband (Kt)
Erscheinungsjahr 2010
Seitenangabe 112 S.
Lieferstatus Folgt in ca. 5 Arbeitstagen
Ausgabekennzeichen Englisch
Abbildungen Paperback
Masse H23.5 cm x B19.1 cm x D0.7 cm 226 g
Reihe Synthesis Lectures on Algorithms and Software in Engineering

Über den Autor Kyriakides, Ioannis

Ioannis Kyriakides received his B.S. in Electrical Engineering in 2003 from Texas A&M University. He received his M.S. and Ph.D. in 2005 and 2008, respectively, from Arizona State University. He held a research associate position throughout his graduate studies, funded by the Integrated Sensing and Processing program and the Multidisciplinary University Research Initiative of the U.S. Department of Defense. In the final year of his Ph.D. work, he received the University Graduate Fellowship of the Arizona State University. His research interests include Bayesian target tracking, sequential Monte Carlo methods, and cognitive fusion for heterogeneous data fusion and heterogeneous sensing node configuration. His research work includes localization of multiple RF sources, tracking surface vehicles using passive acoustic sensing, tracking multiple targets with constraints in motion, and tracking multiple targets using heterogeneous cognitive sensors. Dr. Kyriakides is currently an Associate Professor at the Engineering Department at the University of Nicosia. He participates in the Department of Engineering Quality Assurance Committee and the University of Nicosia Environment, Health, and Safety Committee. He is a member of CapTech Information of the European Defence Agency. He has been the coordinator of a Research and Innovation Foundation project ""Automated Sonar-Thermal Monitoring for Sea Border Security"" with budget 180 K Euro. He is currently the coordinator of the Research and Innovation Foundation Project ""MARI-Sense: Maritime Cognitive Decision Support System"" with budget 1 M Euro www.marisense.eu.

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