Paper
2 May 2012 Separation of vibrating and static SAR object signatures via an orthogonal subspace transformation
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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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Matthew Pepin and Majeed M. Hayat "Separation of vibrating and static SAR object signatures via an orthogonal subspace transformation", Proc. SPIE 8394, Algorithms for Synthetic Aperture Radar Imagery XIX, 83940I (2 May 2012); https://doi.org/10.1117/12.917217
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Modulation

Synthetic aperture radar

Phase shift keying

Signal to noise ratio

Doppler effect

Phase measurement

Data modeling

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