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机载双基地雷达杂波距离依赖补偿方法
引用本文:魏民,李小波,黄中瑞.机载双基地雷达杂波距离依赖补偿方法[J].信号处理,2017,33(1):18-24.
作者姓名:魏民  李小波  黄中瑞
作者单位:电子工程学院
基金项目:国家自然科学基金资助项目(61272333);安徽省自然科学基金资助项目(1308085QF99)
摘    要:针对杂波距离依赖造成空时自适应处理器性能下降问题,提出一种基于最小二乘估计的聚焦矩阵补偿方法。首先,利用最小二乘方法估计杂波幅度,选取幅度较大的杂波点;其次,根据杂波点的空时导向矢量求解聚焦矩阵,通过聚焦矩阵直接对训练数据进行线性变换;最后,根据变换后的数据估计出待检测单元的杂波噪声协方差矩阵,进而求出自适应权值矢量。该方法采用非均匀采样求解聚焦矩阵,杂波抑制性能更好,仿真实验验证了所提方法的有效性。 

关 键 词:空时自适应处理    杂波距离依赖    最小二乘估计    聚焦矩阵
收稿时间:2016-06-06

A Compensation Method for Clutter Range-dependence of Airborne Bistatic Radar
Affiliation:Electronic Engineering Institution
Abstract:In view of the poor performance of space-time adaptive processing(STAP) when clutter was range-dependent, the paper presented a compensation method using focusing matrix based on least square estimation. Firstly, clutter amplitude was estimated utilizing least square estimation, and clutter patches with greater amplitude were selected. Secondly, focusing matrix was evaluated by space-time steering vector of clutter patches, and a linear transformation was directly implemented on the training data using the focusing matrix. Thirdly, clutter-plus-noise covariance matrix(CCM) of the cell under text was estimated utilizing the transformed data and thus the self-adaptive weights were evaluated. The proposed method, in which non-uniform sampling is adopted, performs better than classical focusing matrix method. Lastly, the simulation tests its validity. 
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