27 April 2010 Persistent GMTI surveillance: theoretical performance bounds and some experimental results
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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.
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Bhashyam Balaji, Bhashyam Balaji, Anthony Damini, Anthony Damini, Kai Wang, Kai Wang, } "Persistent GMTI surveillance: theoretical performance bounds and some experimental results", Proc. SPIE 7669, Radar Sensor Technology XIV, 766910 (27 April 2010); doi: 10.1117/12.849676; https://doi.org/10.1117/12.849676


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