立体十字型互耦阵列二维DOA估计及互耦自校正  

Study of 2-D DOA estimation and self-calibration algorithm for TCA in the presence of mutual coupling

作　　者：胡伟伟[1] 王昌明[1] 张爱军[1] 

机构地区：[1]南京理工大学机械工程学院,江苏南京210094

出　　处：《系统工程与电子技术》2014年第5期824-830,共7页Systems Engineering and Electronics

基　　金：高维信息智能感知与系统教育部重点实验室(南京理工大学)开放基金(3092013012205);高等学校博士学科点专项科研基金(20133219110027)资助课题

摘　　要：针对常规十字阵子阵间互耦不易处理这一问题,设计一种立体十字型阵列,并在该阵列基础上,提出立体十字型互耦阵列传播算子(propagation method for tridimensional cross array in presence of mutual coupling,TCA-MC-PM)算法。该算法首先分别从子阵中选取部分合适阵元构成阵列,将理想导向向量与互耦系数剥离,利用信号子空间与理想导向向量张成同一空间这一关系估计方位角与俯仰角,接着通过子空间与秩损原理估算互耦系数,最后利用整个阵列的空间谱函数完成方位角和俯仰角的配对。在此过程中涉及的子空间都以阵列的传播算子构建,可避免特征分解,降低运算量。仿真表明,本文提出的算法不涉及空间谱搜索,运算量小,有效抑制互耦影响,测量精度高。A method named TCA-MC-PM is proposed based on the tridimensional cross array which is de-signed for the reason that mutual coupling is difficult to deal with between sub-arrays in the conventional cross array.In this method,first,the ideal steering vectors of arrays constructed with some appropriate array ele-ments which are chosen from both sub-arrays can be isolated with mutual coupling coefficients,and azimuths and elevations are calculated with the relationship between signal sub-space and the ideal steering vector;then, mutual coupling coefficients are estimated with sub-space and rank-reduction algorithms;last,azimuths and ele-vations are paired utilizing spatial spectral estimators.All the sub-spaces mentioned are constructed with propa-gation parameters,which can avoid eigen-decomposing and can reduce computational effort.Simulation results confirm that the proposed method has little computation because of no search of spatial spectral and has high ac-curacy as it can restrain the influence of mutual coupling effectively.

关 键 词：阵列信号处理 二维波达方向估计 互耦校正 立体十字阵 立体十字型互耦阵列传播算子算法 

分 类 号：TN911.7[电子电信—通信与信息系统]