基于最小冗余线阵的谱相关波达方向估计算法  

Spectral Correlation Direction-of-Arrival Estimation Algorithm Based on Minimum-Redundancy Linear Arrays

作　　者：贾维敏[1] 姚敏立[1] 徐锦拓[1] 姜霞[1] 

机构地区：[1]第二炮兵工程学院信息工程教研室,西安710025

出　　处：《数据采集与处理》2004年第3期307-311,共5页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金 ( 60 0 0 2 0 0 2 )资助项目 ;二炮科研基金联合资助项目。

摘　　要：根据均匀线阵输出的共轭循环相关矩阵具有很大的冗余特性 ,提出了基于最小冗余线阵的谱相关共轭循环 MUSIC算法。该算法利用了信号的时域和空域联合特征 ,并引入了伪数据矩阵 ,使算法的性能远优于其他方法。理论分析和计算机仿真实验均表明 ,与基于最小冗余线阵的共轭循环 MUSIC算法相比 ,该算法具有良好的波达方向估计性能 ,扩展了阵列孔径 ,抗噪能力强 ,分辨率高 ,能用较少的阵元估计更多的信号源方向。According to more redundancy characteristics of the conjugate cyclic correlation matrix of uniform linear array output, spectral correlation conjugate cyclic MUSIC algorithm based on minimum-redundancy linear arrays is presented. The new approach uses combination of temporal and spatial signal and pseudodata matrix. Moreover the new method has significant implementational advantages over the earlier techniques. Theoretical analysis and simulation results show that the algorithm has significant performance in comparison with conjugate cyclic MUSIC, such as extending arrays aperture, being insensitive to noise, having higher resolution, and estimating more signal sources with fewer sensors.

关 键 词：最小冗余线阵 波达方向估计 MUSIC算法 阵列信号处理 共轭循环平稳 CCM算法 

分 类 号：TN911.7[电子电信—通信与信息系统]