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Proceedings Paper

Comparison of filtering and smoothing algorithms for airborne radar data
Author(s): Bhashyam Balaji; Kai Wang; Anthony Damini; Martie Goulding; Kurt Hagen
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Paper Abstract

The detection of ground-moving targets requires clutter cancellation, which is typically performed using space-time adaptive processing (STAP). The detections from STAP provide the measurements of range, bearing, and Doppler. These measurements can then be fed to Bayesian state estimators. In this paper, results from an airborne radar data set are processed and the performance of filtering and smoothing algorithms are compared. The standard nonlinear filtering algorithms, namely the extended Kalman filter, are used. It is found that while the smoother performance is significantly better than that of the filter, the smoothing window need not be large to obtain the superior performance.

Paper Details

Date Published: 31 May 2013
PDF: 8 pages
Proc. SPIE 8714, Radar Sensor Technology XVII, 871417 (31 May 2013); doi: 10.1117/12.2017889
Show Author Affiliations
Bhashyam Balaji, Defence Research and Development Canada, Ottawa (Canada)
Kai Wang, McDonald, Dettwiler and Associates Ltd. (Canada)
Anthony Damini, Defence Research and Development Canada, Ottawa (Canada)
Martie Goulding, McDonald, Dettwiler and Associates Ltd. (Canada)
Kurt Hagen, McDonald, Dettwiler and Associates Ltd. (Canada)


Published in SPIE Proceedings Vol. 8714:
Radar Sensor Technology XVII
Kenneth I. Ranney; Armin Doerry, Editor(s)

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