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Proceedings Paper

Ground moving target parameter estimation for stripmap SAR using the unscented Kalman filter
Author(s): Bhashyam Balaji; Christoph Gierull; Anthony Damini
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Paper Abstract

In multi-channel SAR systems, the detection of movers is carried out using techniques based on the Wiener filter. An important problem is the estimation of the moving target parameters such as along-track velocity, across-track velocity, and azimuth displacement. In this paper, the parameter estimation problem is formulated as a novel Bayesian state estimation problem. The unscented Kalman filter is applied to the problem and it is noted that it leads to good estimates.

Paper Details

Date Published: 13 June 2014
PDF: 8 pages
Proc. SPIE 9093, Algorithms for Synthetic Aperture Radar Imagery XXI, 90930S (13 June 2014); doi: 10.1117/12.2058263
Show Author Affiliations
Bhashyam Balaji, Defence Research and Development Canada (Canada)
Christoph Gierull, Defence Research and Development Canada (Canada)
Anthony Damini, Defence Research and Development Canada (Canada)


Published in SPIE Proceedings Vol. 9093:
Algorithms for Synthetic Aperture Radar Imagery XXI
Edmund Zelnio; Frederick D. Garber, Editor(s)

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