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基于AR模型的共轭循环波达方向估计
引用本文:贾维敏,姚敏立,宋建社.基于AR模型的共轭循环波达方向估计[J].系统工程与电子技术,2006,28(2):171-174.
作者姓名:贾维敏  姚敏立  宋建社
作者单位:第二炮兵工程学院,陕西,西安,710025
基金项目: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。

关 键 词:共轭循环平稳特性  AR模型  DoA估计
文章编号:1001-506X(2006)02-0171-04
修稿时间:2005年1月12日

Conjugate cyclic direction-of-arrival estimation algorithm based on AR model
JIA Wei-min,YAO Min-li,SONG Jian-she.Conjugate cyclic direction-of-arrival estimation algorithm based on AR model[J].System Engineering and Electronics,2006,28(2):171-174.
Authors:JIA Wei-min  YAO Min-li  SONG Jian-she
Abstract:Considering the redundancy of the conjugate cyclic correlation matrix of the uniform linear array's output,a spectral correlation conjugate cyclic MUSIC algorithm with minimum-redundancy 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 computer simulation results show that the algorithm leads to significantly better performances in comparison 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.
Keywords:conjugate cyclic cyclostationarity  AR model  direction-of-arrival estimation
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