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Proceedings Paper

Analytical SAR-GMTI principles
Author(s): Mehrdad Soumekh; Uttam K. Majumder; Christopher Barnes; David Sobota; Michael Minardi
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Paper Abstract

This paper provides analytical principles to relate the signature of a moving target to parameters in a SAR system. Our objective is to establish analytical tools that could predict the shift and smearing of a moving target in a subaperture SAR image. Hence, a user could identify the system parameters such as the coherent processing interval for a subaperture that is suitable to localize the signature of a moving target for detection, tracking and geolocating the moving target. The paper begins by outlining two well-known SAR data collection methods to detect moving targets. One uses a scanning beam in the azimuth domain with a relatively high PRF to separate the moving targets and the stationary background (clutter); this is also known as Doppler Beam Sharpening. The other scheme uses two receivers along the track to null the clutter and, thus, provide GMTI. We also present results on implementing our SAR-GMTI analytical principles for the anticipated shift and smearing of a moving target in a simulated code. The code would provide a tool for the user to change the SAR system and moving target parameters, and predict the properties of a moving target signature in a subaperture SAR image for a scene that is composed of both stationary and moving targets. Hence, the SAR simulation and imaging code could be used to demonstrate the validity and accuracy of the above analytical principles to predict the properties of a moving target signature in a subaperture SAR image.

Paper Details

Date Published: 14 May 2016
PDF: 18 pages
Proc. SPIE 9843, Algorithms for Synthetic Aperture Radar Imagery XXIII, 984304 (14 May 2016); doi: 10.1117/12.2224747
Show Author Affiliations
Mehrdad Soumekh, Soumekh Consulting (United States)
Uttam K. Majumder, Air Force Research Lab. (United States)
Christopher Barnes, C. Barnes Consulting (United States)
David Sobota, Air Force Research Lab. (United States)
Michael Minardi, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 9843:
Algorithms for Synthetic Aperture Radar Imagery XXIII
Edmund Zelnio; Frederick D. Garber, Editor(s)

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