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Proceedings Paper

Separation of vibrating and static SAR object signatures via an orthogonal subspace transformation
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Paper Abstract

When vibrating objects are present in a Synthetic Aperture Radar image they induce a modulation in the pulse-to-pulse Doppler collected. At higher frequencies (up to a sampling limit dictated by half the PRF) the modulation is low amplitude due to physical limits of vibrating structures and swamped by the Doppler from static objects (clutter). This paper presents an orthogonal subspace transform that separates the modulation of a vibrating object from the static clutter. After the transformation the major frequencies of the vibration are estimated with asymptotically (as the number of pulses increases) decreasing variance and bias. Although the e¤ects and SAR image artifacts from vibrating objects are widely known their utility has been limited to high signal-to-noise, low frequency vibrating objects. The method presented here lowers the minimum required signal-to-noise ratio of the vibrating object over other methods. Additionally vibrations over the full (azimuth- sampled) frequency range from one over the aperture time to the pulse repetition frequency (PRF) are equally measured with respect to the noise level at each speci…c frequency. After separation of the vibrating and static object signal sub-spaces any of the many spectral estimation methods can be applied to estimate the vibration spectrum.

Paper Details

Date Published: 2 May 2012
PDF: 15 pages
Proc. SPIE 8394, Algorithms for Synthetic Aperture Radar Imagery XIX, 83940I (2 May 2012); doi: 10.1117/12.917217
Show Author Affiliations
Matthew Pepin, The Univ. of New Mexico (United States)
Majeed M. Hayat, The Univ. of New Mexico (United States)

Published in SPIE Proceedings Vol. 8394:
Algorithms for Synthetic Aperture Radar Imagery XIX
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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