Share Email Print
cover

Proceedings Paper

SAR Images Generated Using the Least Mean Squares (LMS) Algorithm
Author(s): John E. Minardi II; Michael J. Minardi
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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 II, 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)

© SPIE. Terms of Use
Back to Top