摘要
为了校正阵元间的互耦误差,提高波达方向(direction of arrival,DOA)估计算法的性能,针对均匀圆阵,提出一种互耦自校正的级联估计方法。首先利用互耦矩阵的结构特点,从构成互耦矩阵的每个互耦系数入手,重新表示阵列流形;然后利用变换矩阵,构造目标函数,求解线性约束下目标函数最小时所对应的互耦矩阵;最后由互耦矩阵校正阵列流形,进行谱峰搜索,得到入射信号DOA,实现互耦自校正。该算法不需要多维循环迭代,对DOA和互耦矩阵的估计精度较高,计算机仿真和实际测向系统测试验证了该方法的有效性。
In order to calibrate array antennas mutual coupling errors and improve the performance of direction of finding direction of arrival（DOA）algorithm,a new self-calibration method is presented.Firstly,using the structural characteristics of the mutual coupling matrix,researching each coefficient,the array flow is transformed.Then objective function is constructed,and the mutual coupling matrix can be gotten by solving the objective function under linear constrained.At last,the DOA of incident signal and array mutual coupling matrix are obtained by utilizing peak searching technology.There is no need to do multidimensional iteration calculation,the accuracy of mutual coupling matrix and DOA estimation is higher,the performances of the method are confirmed by computer simulations and actual direction finding system experiments.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2014年第7期1225-1231,共7页
Systems Engineering and Electronics
基金
中央高校基本科研业务费重点专项资金(HEUCF140803)资助课题
关键词
波达方向估计
互耦自校正
级联估计
均匀圆阵
direction of arrival（DOA）estimation
mutual coupling self-calibration
cascade estimation
uniform circular array
