极化域-空域动态联合谱估计  

Adaptive estimation for joint spectrum in polarizational and spatial domains

作　　者：徐振海[1] 王雪松[1] 冯德军[1] 肖顺平[1] 庄钊文[1] 

机构地区：[1]国防科技大学电子科学与工程学院,湖南长沙410073

出　　处：《电波科学学报》2005年第1期25-28,共4页Chinese Journal of Radio Science

基　　金：全国优秀博士学位论文专项资金(08100101);湖南省自然科学基金(02JJY2100);国防科技大学博士生创新基金

摘　　要：研究了极化域-空域联合谱的动态更新问题,给出了MUSIC联合谱的自 适应递推估计算法。利用指数窗法对阵列协方差矩阵作秩 1更新;然后在矩阵扰动 理论基础上,利用矩阵特征分解二阶修正方法更新特征值和特征向量;针对最小特征 值重合情形仅对信号子空间进行递推更新,根据更新了的信号子空间得到动态联合 谱;最后仿真结果验证了该方法的可靠性。The adaptive estimation method is presented for the MUSIC joint spectrum in polarizational and spatial domains. At first, the array covariance matrix is updated by the current received signal vector through the 'exponential window' method. Then, exploiting the matrix perturbation theory, the second order correction method of matrix eigendecomposition to update the eigenvalues and eigenvectors is proposed. Especially, when the smallest eigenvalues are equal, only the signal subspace is update and let the noise subspace alone. According to the updated signal subspace, the new joint spectrum can easily be obtained by the MUSIC method. The simulation results show the reliability of the novel adaptive spectral estimation algorithm.

关 键 词：极化敏感阵列 谱估计 自适应 子空间 特征分解 

分 类 号：TN911[电子电信—通信与信息系统]