Detection/tracking of moving targets with synthetic aperture radars

Gregory E. Newstadt; Edmund Zelnio; Leroy Gorham; Alfred O. Hero III

doi:10.1117/12.850345

18 April 2010 Detection/tracking of moving targets with synthetic aperture radars

Gregory E. Newstadt, Edmund Zelnio, Leroy Gorham, Alfred O. Hero III

Author Affiliations +

Proceedings Volume 7699, Algorithms for Synthetic Aperture Radar Imagery XVII; 76990I (2010) https://doi.org/10.1117/12.850345
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

In this work, the problem of detecting and tracking targets with synthetic aperture radars is considered. A novel approach in which prior knowledge on target motion is assumed to be known for small patches within the field of view. Probability densities are derived as priors on the moving target signature within backprojected SAR images, based on the work of Jao.¹ Furthermore, detection and tracking algorithms are presented to take advantage of the derived prior densities. It was found that pure detection suffered from a high false alarm rate as the number of targets in the scene increased. Thus, tracking algorithms were implemented through a particle filter based on the Joint Multi-Target Probability Density (JMPD) particle filter² and the unscented Kalman filter (UKF)³ that could be used in a track-before-detect scenario. It was found that the PF was superior than the UKF, and was able to track 5 targets at 0.1 second intervals with a tracking error of 0.20 ± 1.61m (95% confidence interval).

Citation Download Citation

Gregory E. Newstadt, Edmund Zelnio, Leroy Gorham, and Alfred O. Hero III "Detection/tracking of moving targets with synthetic aperture radars", Proc. SPIE 7699, Algorithms for Synthetic Aperture Radar Imagery XVII, 76990I (18 April 2010); https://doi.org/10.1117/12.850345

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