Paper
10 April 2018 Robust adaptive multichannel SAR processing based on covariance matrix reconstruction
Author Affiliations +
Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106155A (2018) https://doi.org/10.1117/12.2303957
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
With the combination of digital beamforming (DBF) processing, multichannel synthetic aperture radar(SAR) systems in azimuth promise well in high-resolution and wide-swath imaging, whereas conventional processing methods don’t take the nonuniformity of scattering coefficient into consideration. This paper brings up a robust adaptive Multichannel SAR processing method which utilizes the Capon spatial spectrum estimator to obtain the spatial spectrum distribution over all ambiguous directions first, and then the interference-plus-noise covariance Matrix is reconstructed based on definition to acquire the Multichannel SAR processing filter. The performance of processing under nonuniform scattering coefficient is promoted by this novel method and it is robust again array errors. The experiments with real measured data demonstrate the effectiveness and robustness of the proposed method.
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Zhen-ya Tan and Feng He "Robust adaptive multichannel SAR processing based on covariance matrix reconstruction", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106155A (10 April 2018); https://doi.org/10.1117/12.2303957
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KEYWORDS
Synthetic aperture radar

Scattering

Doppler effect

Electronic support measures

Phased arrays

Antennas

Signal to noise ratio

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