基于RARE-Cumulant的互耦校正和DOA估计  

Mutual coupling calibration and direction of arrival estimation based on RARE-cumulant algorithm

作　　者：李新波[1] 石要武[1] 马彦[1] 张涵[2] 

机构地区：[1]吉林大学通信工程学院,长春130022 [2]吉林大学物理学院,长春130023

出　　处：《吉林大学学报（工学版）》2010年第4期1118-1121,共4页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(60872088);吉林大学研究生创新基金项目(502009)

摘　　要：基于四阶累计量及RARE(RAnk reducee quation)变换,结合均匀线阵互耦矩阵的特殊性,提出了一种新的互耦校正及波达方向估计算法。虽然四阶累计量比传统的二阶方法算法复杂,却扩展了阵列孔径,提高了在色噪声背景下DOA估计精度,而互耦系数并未因增加了虚拟阵元而增多。RARE变换将互耦系数与波达方向参量分离,有效地实现了多维参数估计的降维处理,减小了多维参量估计的计算量。仿真实验表明,在高斯色噪声背景下,本文方法计算量小,而且估计能力明显优于二阶去耦算法和传统的四阶方法。Based on fourth-order cumulant and the special mutual coupling transform model of uniform and linear arrays,a novel efficient mutual coupling compensation algorithm for estimation of Direction of Arrival （ DOA） is proposed. This is an online calibration method and the calibration sources are not required. Although the fourth-order cumulant is more complex than traditional second-order method,it can obtain more spatial information and the number of mutual coupling coefficients is not expanded with the increase in virtual arrays. In the case of Gaussian color noise,simulation results demonstrate the effectiveness of the proposed technique. The results also show that the estimation resolution of the algorithm is higher than that of both the second-order mutual coupling calibration method and the traditional fourth-order method without mutual coupling consideration.

关 键 词：通信技术 减秩累计量法 互耦校正 波达方向估计 

分 类 号：TN911.7[电子电信—通信与信息系统]