Clutter suppression in synthetic aperture radar targets using the DFRFT and subspace methods with rank reduction | IEEE Conference Publication | IEEE Xplore

Clutter suppression in synthetic aperture radar targets using the DFRFT and subspace methods with rank reduction


Abstract:

SAR based vibration estimation using discrete Fractional Fourier transform (DFRFT) analysis methods has gained attention in recent work on vibrometry. In the presence of ...Show More

Abstract:

SAR based vibration estimation using discrete Fractional Fourier transform (DFRFT) analysis methods has gained attention in recent work on vibrometry. In the presence of significant clutter however, this estimation becomes challenging due to the presence of clutter induced peaks in the vibration spectra. In this paper, we incorporate rank reduction and filtering into a subspace DFRFT approach that results in significant peak enhancement along with an accompanying reduction in the associated mean square estimation errors when applied to simulated SAR and synthetic chirp data. The approach is further applied to vibration data gathered from a real GA-Lynx system and shown to produce a corresponding peak enhancement and clutter suppression in the vibration spectrum.
Date of Conference: 08-11 November 2015
Date Added to IEEE Xplore: 29 February 2016
ISBN Information:
Electronic ISSN: 1058-6393
Conference Location: Pacific Grove, CA, USA

I. Introduction

In recent years, the DFRFT [7]–[9], [6] has become a useful time-frequency tool for multiple chirp parameter estimatiolin [5] and in particular it has been successfully applied to the problem of vibration estimation using SAR [2]–[4]. Direct DFRFT based estimation of the vibration frequency involves application of the DFRFT to the target return signal, peak coordinate location and translation of the peak coordinates to center-frequency and chirp-rate estimates using the peak-to-parameter mapping. This direct approach works well when the SNR is high and the SCR is high and above 15 dB. However in the presence of significant clutter produced from reflections of surrounding objects, accurate location of the peak becomes difficult due to the presence of clutter-induced side-lobes in the DFRFT spectra.

References

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