Ground moving target parameter estimation for stripmap SAR using the unscented Kalman filter

Bhashyam Balaji; Christoph Gierull; Anthony Damini

doi:10.1117/12.2058263

13 June 2014 Ground moving target parameter estimation for stripmap SAR using the unscented Kalman filter

Bhashyam Balaji, Christoph Gierull, Anthony Damini

Proceedings Volume 9093, Algorithms for Synthetic Aperture Radar Imagery XXI; 90930S (2014) https://doi.org/10.1117/12.2058263
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

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.

Citation Download Citation

Bhashyam Balaji, Christoph Gierull, and Anthony Damini "Ground moving target parameter estimation for stripmap SAR using the unscented Kalman filter", Proc. SPIE 9093, Algorithms for Synthetic Aperture Radar Imagery XXI, 90930S (13 June 2014); https://doi.org/10.1117/12.2058263

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