Sum-difference Reduced-dimensional Processing in SAR Image Domain and Statistical Analysis for Ground Moving Target Indi

In this article, a new reduced-dimensional adaptive processing algorithm based on joint pixels sum-difference data for clutter rejection is proposed. The sum-difference data are obtained by orthogonal projection of the joint pixels data of different synthetic aperture radar (SAR) images generated by a multi-satellite radar system. In the sense of statistical expectation, the sum-differ-ence data contain the common and different information of the SAR images. Therefore, the objective of clutter cancellation can be achieved by adaptive processing. Moreover, based on the residual image after clutter rejection, statistical analysis of constant false-alarm rate (CFAR) detection of moving targets is also presented. Simulation results demonstrate the effectiveness and ro-bustness of the proposed algorithm even with heterogeneous clutter and image co-registration error.

作 者： Yang Zhiwei Liao Guisheng Zhang Juan Zeng Cao   作者單位： National Lab of Radar Signal Processing, Xidian University, Xi'an 710071, China  刊 名： 中國(guó)航空學(xué)報(bào)（英文版）  ISTIC 英文刊名： CHINESE JOURNAL OF AERONAUTICS  年，卷(期)： 2009 22(6)  分類(lèi)號(hào)： V2  關(guān)鍵詞： ground moving target indication   space-time adaptive processing   clutter rejection   multi-channel   synthetic aperture radar  

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