Persistent GMTI surveillance: theoretical performance bounds and some experimental results
Bhashyam Balaji, Anthony Damini, Kai Wang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
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.