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作 者:魏民[1] 李小波[1] 黄中瑞[1] WEI Min;LI Xiao-bo;HUANG Zhong-rui(Electronic Engineering Institution, Hefei, Anhui 230037 , China)
机构地区:[1]电子工程学院,安徽合肥230037
出 处:《信号处理》2017年第1期18-24,共7页Journal of Signal Processing
基 金: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。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 ampli-tude was estimated utilizing least square estimation,and clutter patches with greater amplitude were selected.Secondly,fo-cusing matrix was evaluated by space-time steering vector of clutter patches,and a linear transformation was directly imple-mented on the training data using the focusing matrix.Thirdly,clutter-plus-noise covariance matrix(CCM)of the cell un-der text was estimated utilizing the transformed data and thus the self-adaptive weights were evaluated.The proposed meth-od,in which non-uniform sampling is adopted,performs better than classical focusing matrix method.Lastly,the simula-tion tests its validity.
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
分 类 号:TN911.7[电子电信—通信与信息系统]
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