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Proceedings Paper

Persistent GMTI surveillance: theoretical performance bounds and some experimental results
Author(s): Bhashyam Balaji; Anthony Damini; Kai Wang
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Paper Abstract

In certain operational radar modes, slow ground moving targets are detected over several processing intervals using space-time adaptive processing. This enables use of Bayesian filtering and smoothing algorithms for estimation of time-varying moving target parameters. In this paper, some Bayesian filtering algorithms are investigated. The Cram´er-Rao bounds based on subsets of radar measurements (range, angle and Doppler) are derived for typical maneuvering targets and compared against simulated results from Bayesian filters. The performance is also evaluated using real data obtained from DRDC Ottawa's XWEAR radar.

Paper Details

Date Published: 27 April 2010
PDF: 12 pages
Proc. SPIE 7669, Radar Sensor Technology XIV, 766910 (27 April 2010); doi: 10.1117/12.849676
Show Author Affiliations
Bhashyam Balaji, Defence Research and Development Canada (Canada)
Anthony Damini, Defence Research and Development Canada (Canada)
Kai Wang, MDA Systems Ltd. (Canada)

Published in SPIE Proceedings Vol. 7669:
Radar Sensor Technology XIV
Kenneth I. Ranney; Armin W. Doerry, Editor(s)

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