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Proceedings Paper

Applications of wavelet subband decomposition in adaptive arrays
Author(s): Ismail I. Jouny
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Paper Abstract

Pre-processing radar signals incident on an adaptive array by applying an invertible transformation such as wavelets are the focus of this study. The effect of wavelet subband decomposition of radar signals prior to adaptation using an LMS algorithm or an Applebaum processor on the adaptation rate of these processors is examined. The performance of wavelet transform based array processors is compared with that of the FFT and cosine transform. The dynamic range of the array weights before and after wavelet transformation is being examined. Simulations involving experimental radar data and different types of wavelets are also presented.

Paper Details

Date Published: 29 July 1994
PDF: 12 pages
Proc. SPIE 2234, Automatic Object Recognition IV, (29 July 1994); doi: 10.1117/12.181044
Show Author Affiliations
Ismail I. Jouny, Lafayette College (United States)

Published in SPIE Proceedings Vol. 2234:
Automatic Object Recognition IV
Firooz A. Sadjadi, Editor(s)

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