最大相关系数准则下的子带域宽带雷达杂波抑制与距离像增强
doi: 10.3724/SP.J.1146.2008.00795
Subband Implementation for Wideband Radar Clutter Suppression and Target HRRP Enhancement on the Principle of Maximizing the Pearson Correlation Coefficient
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摘要: 针对宽带雷达回波存在目标多普勒色散问题，该文提出了一种子带域宽带雷达杂波抑制与目标距离像增强的方法。过采样DFT调制滤波器组将宽带雷达回波分为若干子带，每个子带内的多普勒色散可以忽略，从而可以通过对相参回波序列的加权处理实现杂波抑制和目标回波的增强，然后将各子带的处理结果通过综合滤波器组重构得到增强的目标距离像。以重构距离像与参考距离像的Pearson相关系数最大为准则(MPCC)，导出了最优权矢量；最优权矢量与目标距离像有关而无法实现，在高信噪比条件下对其简化得到可实现的最小方差无失真响应(MVDR)权矢量。理论分析和仿真实验证明了该文提出的方法在抑制杂波的同时可实现目标距离像的增强。Abstract: To overcome the Doppler dispersion of the wideband radar return, a method of subband implementation for wideband radar clutter suppression and target High Resolution Range Profile (HRRP) enhancement is presented in this paper. The return is decomposed by oversampled DFT modulation filter bank. In every subband the Doppler dispersion can be ignored and weighting processing is implemented for multi coherent returns to suppress the clutter and enhance the target return, then the results of all subbands are reconstructed to get the enhanced target HRRP. The derivation of optimal weight vector is on the principle of maximizing the Pearson correlation coefficient between the reconstructed HRRP and the referenced HRRP. The optimal weight vector can not be implemented because it is dependent on the actual target HRRP and the realizable MVDR weight vector can be derived from the optimal weight vector in the case of high SNR. Theory analyzing and simulation results show that the method presented in this paper can suppress the clutter and enhance the target HRRP.
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