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中文摘要：
针对强干扰目标信号污染影响传统的特征投影方法杂波抑制性能的问题,提出了一种稳健的特征投影方法。该方法首先构造与回波数据矢量对应的模归一化矢量,对其协方差矩阵进行特征分解,构造新的噪声子空间,最后将回波数据矢量向新的噪声子空间投影进行杂波抑制。理论分析和实验结果验证了该方法的有效性和稳健性。
英文摘要：
The strong target contamination has a great influence on the performance of the conventional clutter suppression method.To deal with the problem,a robust eigen-projection approach is proposed for multi-channel synthetic aperture radar systems.Firstly,a modulus normalized vector corresponding to the pixel data vector is constructed and its covariance matrix is formed.Secondly,the eigen-decomposition is produced,and a new noise subspace is constructed.Finally,the ground clutter is suppressed by the projection of the pixel data vector under test onto the new noise subspace.The effectiveness and robustness of the proposed approach are confirmed by performance analysis and real data processing.
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同项目期刊论文
Performance improvement for monostatic clutter mitigation using space-time-range three dimensional a
Unambiguous Doppler centroid estimation approach for SAR data based upon compressed signal magnitude
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