Ground Moving Target Parameter Estimation for Stripmap SAR Using the Unscented Kalman Filter

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Authors
  1. Balaji, B.
  2. Gierull, C.
  3. Damini, A.
Corporate Authors
Defence Research and Development Canada, Ottawa Research Centre, Ottawa ON (CAN)
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.
Keywords
Ground Moving Target Indicator;Stripmap SAR;Kalman Filtering
Report Number
DRDC-RDDC-2017-N028 — External Literature
Date of publication
06 Mar 2018
Number of Pages
8
Reprinted from
Algorithms for Synthetic Aperture Radar Imagery, Proc. of SPIE, Vol 9093, 90930S, 2014
DSTKIM No
CA045664
CANDIS No
806099
Format(s):
Electronic Document(PDF)

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