Estimating moving target information using single-channel synthetic aperture radar (SAR)

Jacob Gunther; Josh Hunsaker; Hyrum Anderson; Todd Moon

doi:10.1117/12.2050076

13 June 2014 Estimating moving target information using single-channel synthetic aperture radar (SAR)

Jacob Gunther, Josh Hunsaker, Hyrum Anderson, Todd Moon

Proceedings Volume 9093, Algorithms for Synthetic Aperture Radar Imagery XXI; 90930K (2014) https://doi.org/10.1117/12.2050076
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

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.

Citation Download Citation

Jacob Gunther, Josh Hunsaker, Hyrum Anderson, and Todd Moon "Estimating moving target information using single-channel synthetic aperture radar (SAR)", Proc. SPIE 9093, Algorithms for Synthetic Aperture Radar Imagery XXI, 90930K (13 June 2014); https://doi.org/10.1117/12.2050076

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