基于AR模型的共轭循环波达方向估计  

Conjugate cyclic direction-of-arrival estimation algorithm based on AR model

作　　者：贾维敏[1] 姚敏立[1] 宋建社[1] 

机构地区：[1]第二炮兵工程学院,陕西西安710025

出　　处：《系统工程与电子技术》2006年第2期171-174,共4页Systems Engineering and Electronics

基　　金：国家自然科学基金资助课题(60002002)

摘　　要：基于信号循环特征的DoA估计都需要确定循环相关函数的最优延迟时间参数,当相同循环频率的多个信号具有不同的最优延迟参数时,利用确定的延迟时间参数很难确定所有信号的DoA估计。利用信号的共轭循环平稳特性,采用基于AR模型的空间谱估计来确定信号的DoA估计,提高了有限长阵列孔径空间分辨率,且该方法不需要选择最优延迟时间参数,从而适用于任何调制类型信号的DoA估计。Considering the redundancy of the conjugate cyclic oorrelation matrix of the uniform linear array＇ s output, a spectral correlation conjugate cyclic MUSIC algorithm with minimum-redundency linear arrays is presented. The new approach exploits the combination of temporal and spatial signals and makes use of pseudodata matrix. Moreover, the new method has significantly practical advantages over the previous techniques. Theoretic analysis and oomputer simulation results show that the algorithm leads to significantly better performances in oomparison with conjugate cyclic MUSIC, such as array＇s aperture extension, insensitivity to noise, higher resolution, and greater estimation capability of signal source with fewer sensors.

关 键 词：共轭循环平稳特性 AR模型 DOA估计 

分 类 号：TN911[电子电信—通信与信息系统]