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Proceedings Paper

Adaptive joint time-frequency analysis for focusing ISAR images from simulated and experimental radar data
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Paper Abstract

When target motion is confined to a two-dimensional plane during coherent processing intervals, the adaptive joint time-frequency algorithm is shown to be an effective method for achieving rotational motion compensation in ISAR imaging. We illustrate the algorithm using both simulated and measured experimental radar data sets. The results show that the adaptive joint time-frequency algorithm performed very well in achieving a focused image of the target. Results also demonstrate that adaptive joint time-frequency techniques can significantly improve the distorted ISAR image over what can be achieved by conventional Fourier transform methods when the rotational motion of the target is confined to a two-dimensional plane. This study also adds insight into the distortion mechanisms that affect the ISAR images of a target in motion.

Paper Details

Date Published: 5 February 2004
PDF: 12 pages
Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004); doi: 10.1117/12.511861
Show Author Affiliations
Thayananthan Thayaparan, Defence Research and Development Canada (Canada)
George Lampropoulos, A.U.G. Signals Ltd. (Canada)
Silvester K. Wong, Defence Research and Development Canada (Canada)
Edwin Riseborough, Defence Research and Development Canada (Canada)


Published in SPIE Proceedings Vol. 5238:
Image and Signal Processing for Remote Sensing IX
Lorenzo Bruzzone, Editor(s)

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