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Proceedings Paper

Estimating moving target information using single-channel synthetic aperture radar (SAR)
Author(s): Jacob Gunther; Josh Hunsaker; Hyrum Anderson; Todd Moon
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Paper Abstract

Simultaneously estimating position x and velocity v of moving targets using only the measured phase ' from single-channel SAR is impossible because the mapping from (x, v) to φis many-to-one. This paper defines classes of equivalent target motion and solves the GMTI problem up to membership in an equivalence class using single-channel SAR phase data. Definitions are presented for endo- and exo-clutter that are consistent with the equivalence classes, and it is shown that most target motion can be detected, i.e. the set of endo-clutter targets is very small. We exploit the sparsity of moving targets in the scene to develop an algorithm to resolve target motion up to membership in an equivalence class, and demonstrate the effectiveness of the proposed technique using simulated data.

Paper Details

Date Published: 13 June 2014
PDF: 13 pages
Proc. SPIE 9093, Algorithms for Synthetic Aperture Radar Imagery XXI, 90930K (13 June 2014); doi: 10.1117/12.2050076
Show Author Affiliations
Jacob Gunther, Utah State Univ. (United States)
Josh Hunsaker, Utah State Univ. (United States)
Hyrum Anderson, Sandia National Labs. (United States)
Todd Moon, Utah State Univ. (United States)

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

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