SAR/ISAR data exploitation toolbox for focusing moving targets


  1. Thayaparan, T.
Corporate Authors
Defence Research and Development Canada, Ottawa Research Centre, Ottawa ON (CAN)
The commonly used technique for SAR/ISAR imaging of a moving target is a Fourier-based image formation, which assumes time invariance of the Doppler frequency to resolve the image in the cross-range. However, in real-world ISAR/SAR imaging scenarios, when a target exhibits complex motion such as rotation, acceleration, or manoeuvring, standard Fourier-based methods can cause range-Doppler image blurring and leave the image unrecognizable. For target recognition applications, mainly those in military surveillance and reconnaissance operations, a blurred ISAR image of the moving target has to be refocused quickly so that it can be used for real-time target identification. Subsequently, advanced image focusing (or refocusing distorted images) methods such as, S-method, adaptive S-method and local polynomial Fourier transform method were developed. These three image focusing and motion compensation algorithms were successfully tested and validated with numerous measured ocean and air targets using airborne, space-borne, and ground-based sensors. Based on these three algorithms, the SAR/ISAR data exploitation toolbox was developed for Geospatial Intelligence (GEOINT) support to the Canadian Armed Forces (CAF).

Il y a un résumé en français ici.

synthetic aperture radar;inverse synthetic aperture radar;non-stationary signal;Fourier transform;time-frequency analysis;short-time fourier transform;Wigner distribution;s-method;adaptive s-method;local polynomial Fourier transform
Report Number
DRDC-RDDC-2015-R018 — Scientific Report
Date of publication
01 Mar 2015
Number of Pages
Electronic Document(PDF)

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