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Proceedings Paper

Adaptive filtering approach to spectral estimation and SAR imaging
Author(s): Jian Li; Peter Stoica
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Paper Abstract

We present an adaptive FIR filtering approach, which is referred to as the APES (amplitude and phase estimation of a sinusoid), for complex spectral estimation. We compare the APES algorithm with other FIR filtering approaches including the Welch and Capon methods. We also describe how to apply the FIR filtering approaches to target range signature estimation and synthetic aperture radar (SAR) imaging. We show via both numerical and experimental examples that the adaptive FIR filtering approaches such as Capon and APES can yield more accurate spectral estimates with much lower sidelobes and narrower spectral peaks than the FFT method, which is also a special case of the FIR filtering approaches. We show that although the APES algorithnm yields somewhat wider spectral peaks than the Capon method, the former gives more accurate overall spectral estimates and SAR images that the latter and the FFT method.

Paper Details

Date Published: 5 June 1995
PDF: 12 pages
Proc. SPIE 2487, Algorithms for Synthetic Aperture Radar Imagery II, (5 June 1995); doi: 10.1117/12.210835
Show Author Affiliations
Jian Li, Univ. of Florida (United States)
Peter Stoica, Uppsala Univ. (Sweden)

Published in SPIE Proceedings Vol. 2487:
Algorithms for Synthetic Aperture Radar Imagery II
Dominick A. Giglio, Editor(s)

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