Ground Moving Target Indication via Multichannel Airborne SAR

We consider moving target detection and velocity estimation for multichannel synthetic-aperture-radar (SAR)-based ground moving target indication (GMTI). Via forming velocity versus cross-range images, we show that small moving targets can be detected even in the presence of strong stationary ground...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2011-10, Vol.49 (10), p.3753-3764
Main Authors: Guo, Bin, Vu, Duc, Xu, Luzhou, Xue, Ming, Li, Jian
Format: Article
Language:English
Subjects:
Antennas
Arrays
Clutter
Covariance matrix
Data models
Doppler effect
Ground moving target indication (GMTI)
iterative adaptive approach (IAA)
multichannel synthetic aperture radar (SAR)
Noise
stationary clutter cancelation
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Summary:We consider moving target detection and velocity estimation for multichannel synthetic-aperture-radar (SAR)-based ground moving target indication (GMTI). Via forming velocity versus cross-range images, we show that small moving targets can be detected even in the presence of strong stationary ground clutter. Furthermore, the velocities of the moving targets can be estimated, and the misplaced moving targets can be placed back to their original locations based on the estimated velocities. An iterative adaptive approach, which is robust and user parameter free, is used to form velocity versus cross-range images for each range bin of interest. Moreover, we discuss calibration techniques to estimate the relative antenna distances and antenna gains in practical systems. Furthermore, we present a simple algorithm for stationary clutter cancelation. We conclude by demonstrating the effectiveness of our approaches by using the Air Force Research Laboratory publicly released Gotcha airborne SAR-based GMTI data set.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2011.2143420