基于ESPRIT的ULA波达方向估计改进算法  

DOA Estimation Improved Algorithm for ULA Based on ESPRIT Algorithm

作　　者：宋雪松[1] 姚桂锦[1] 徐洄 

机构地区：[1]吉林大学通信工程学院,长春130012 [2]吉林省高速公路管理局,长春130022

出　　处：《吉林大学学报（信息科学版）》2013年第4期365-369,共5页Journal of Jilin University（Information Science Edition）

摘　　要：针对MUSIC(Multiple Signal Classification)算法和ESPRIT(Estimated Signal Parameters via RotationalInvariance Technique)算法不能有效估计相干信源波达方向的问题,在修正MUSIC算法(Modified MUSIC)基础上,通过引用变换矩阵,在考虑阵列接收数据及其相应变换矩阵的自相关和互相关信息后,结合总体最小二乘算法TLS-ESPRITS(Total Least-Squares ESPRIT)提出了能同时适应相干和非相干信号情况的波达方向估计的改进ESPRIT算法(IM-ESPRIT:Improved ESPRIT),并在相干信号源来波角度间隔较小和低信噪比条件下,同常规CC-ESPRIT(Cross ESPRIT)算法进行比较。,结果表明,当相干信源角度间隔为3°且信噪比为0时,实现波达方向估计具有较好的估计精度和分辨率。MUSIC （Multiple Signal Classification） algorithm and ESPRIT （Estimated Signal Parameters via Rotational Invariance Technique） algorithm can not effectively achieve DOA （Direction-of-Anival） estimation of the coherent sources. Based on MMUSIC （Modified MUSIC ）, introducing the transformation matrix and considering the autocorrelation and cross-autocorrelation of the array output and the corresponding transformed matrix, and combined with TLS-ESPRIT （Total Least-Squares ESPRIT） algorithm, an IM-ESPRIT （Improved ESPRIT） algorithm that is suitable for the two cases of the non-coherent and coherent sources has been proposed. Compared with the conventional CC-ESPRIT algorithm （Cross ESPRIT algorithm） , when the angle of coherent source interval is 3~ and signal-to-noise ratio of 0, DOA estimation is realized. It is shown by the numerical simulation that IM-ESPRIT algorithm has a better estimation accuracy under the condition of the small angle interval of the coherent sources and lower SNR.

关 键 词：DOA估计 相干信号 特征子空间 互相关协方差 IM-ESPRIT算法 

分 类 号：TN911[电子电信—通信与信息系统]