文档介绍：基于最大似然准则的L阵2D-DOA配对算法研究
王志诚徐卉郭晓江高叶盛
上海无线电设备研究所上海交通大学电子信息与电气工程学院
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摘    要:
针对L阵两维到达方向(2D-DOA) 估计中方位角和俯仰角配对错误导致的模糊问题, 对一种基于最大似然准则的配对算法进行了研究。根据建立的L阵信号模型, 用超分辨算法获得在非相干源和相干源时的L阵两组线阵的一维DOA估计。由一个线阵接收数据和估计的一维DOA得出信源的最大似然估计, 构造第一个信源协方差矩阵, 其中目标的排列顺序与该线阵估计的一维DOA顺序对应;再用两个线阵接收数据的互相关矩阵估计第二个信源协方差矩阵。当两个线阵估得的一维DOA对应时两个信源协方差矩阵等价, 可由两个矩阵中元素的位置关系实现配对, 获得无模糊的方位角和俯仰角。仿真结果表明:所提算法在低信噪比、小快拍数下均具较高的鲁棒性, 适用范围广, 在无任何先验信息条件下能较准确地实现配对。
关键词:
2D-DOA估计; 参数配对; 最大似然; 解模糊; L阵; 协方差; 运算量; 鲁棒性;
作者简介:王志诚(1982—) , 男, 高级工程师, 主要研究方向为雷达总体设计及信号处理。
收稿日期:2016-07-22
基金:国防“十三五”预研基金资助
Pair-Matching Research Based on Maximum-Likelihood Criterion for 2D-DOA Estimation Using L-Shaped Array
WANG Zhi-cheng XU Hui GUO Xiao-jiang GAO Ye-sheng
Shanghai Radio Equipment Research Institution; School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University;
Abstract:
For the ambiguous problem caused by mismatch of the estimated elevation and azimuth angles for Lshaped array, a novel pair-matching method based on maximum-likelihood criterion was studied in this , the two groups of 1 D-DOAs were obtained from the two linear subarrays of the L-shaped array using super resolution maximum-likelihood estimation of the signal source was gained by the received signals and estimated 1 D-DOAs of one line array, which were used to construct the first source covariance matrix whose alignment order was correspond to the order of the estimated 1 D-DOAs of this line second source covariance matrix was estimated by the cross-correlation matrix of the received signals of the two line two source covariance matrices were equivalent when the two estimated 1 D-DOAs of the two line arrays were corresponded, the matching could be realized to gain the pairs of azimuth and pitch without ambiguity by the position relationship among elements in the two numerical simulations sh