摘要
针对互耦误差下,空间谱估计类算法对相干信号的波达方向(Direction of Arrival,DOA)估计性能下降的问题,提出一种基于Toeplize预处理及改进秩损估计器的解相干和解耦合方法.首先对协方差矩阵斜对角线元素求平均,进行Toeplize预处理,实现解相干;其次利用互耦系数和位置矩阵表示互耦矩阵,进一步变换阵列流形,将信号的角度信息独立于互耦系数,实现解耦合;最后使用改进的秩损估计器,利用谱峰搜索,估计入射信号的DOA.计算机仿真实验验证了本文解相干和解耦合方法的有效性和优越性,而且在低信噪比及小快拍数下依然具有优良的估计性能.
The direction of arrival （DOA） estimation performance of traditional spatial spectrum estimation classification methods decreases sharply in the presence of mutual coupling error. A decorrelation and decoupling metlaod based on Toeplize pretreatment and modified rank reduction estimation algorithm is proposed. First, averaging the oblique diagonal elements of covariance matrix, decorrelation is realized based on Toeplize pretreatment; then mutual coupling matrix is expressed by mutual coupling coefficient and position matrix, and array manifold is transformed, therefore decoupling can be accomplished that the angle information of signals are independent of mutual coupling coefficient; at last, the DOA can be estimated by peak searching utilizing the modified rank reduction estimation method. The simulation results validates the effectiveness and superiority of the decorrelation and decoupling algorithm, the excellent estimation performance can be obtained even in the condition of low SNR and few snapshots.
出处
《沈阳大学学报（自然科学版）》
CAS
2015年第5期405-409,430,共6页
Journal of Shenyang University：Natural Science
基金
中央高校基本科研业务费重点专项资金资助项目(HEUCFI50804)
航空科学基金资助项目(20140IP6001)
关键词
波达方向估计
互耦误差
相干信号
Toeplize预处理
改进秩损估计
direction of arrival （DOA） estimation
mutual coupling error
coherent signal
Toeplize pretreatment
modified rank reduction estimation
