SAR Images Generated Using the Least Mean Squares (LMS) Algorithm

John E. Minardi II; Michael J. Minardi

doi:10.1117/12.731458

14 May 2007 SAR Images Generated Using the Least Mean Squares (LMS) Algorithm

John E. Minardi II, Michael J. Minardi

Proceedings Volume 6568, Algorithms for Synthetic Aperture Radar Imagery XIV; 656810 (2007) https://doi.org/10.1117/12.731458
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

John E. Minardi II and Michael J. Minardi "SAR Images Generated Using the Least Mean Squares (LMS) Algorithm", Proc. SPIE 6568, Algorithms for Synthetic Aperture Radar Imagery XIV, 656810 (14 May 2007); https://doi.org/10.1117/12.731458

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