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Proceedings Paper

SAR Images Generated Using the Least Mean Squares (LMS) Algorithm
Author(s): John E. Minardi; Michael J. Minardi
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Paper Abstract

It is believed that the LMS algorithm can be used to form a two dimensional image from radar return data. A version of the LMS algorithm was written to form SAR images from radar phase history data. Images were formed from fifty sets of twenty synthetically generated random points. The signal-to-noise ratio (SNR) was measured for each image and showed an average of 30 dB. A more complex synthetic scene was also formed from a black and white JPEG image. This image showed excellent qualitative results. Actual radar range data was collected from a set of vertical pins and from a model car painted with conductive paint. The data was from a full 360-degree aperture. The resulting images were of high quality; the vertical pins acted as pure point sources and indicated that the image had a resolution of 4.5 mm, which agrees with theory.

Paper Details

Date Published: 14 May 2007
PDF: 8 pages
Proc. SPIE 6568, Algorithms for Synthetic Aperture Radar Imagery XIV, 656810 (14 May 2007); doi: 10.1117/12.731458
Show Author Affiliations
John E. Minardi, Carroll High School (United States)
Michael J. Minardi, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 6568:
Algorithms for Synthetic Aperture Radar Imagery XIV
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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