摘要
针对经典多重信号分类算法对分布式阵列波达方向估计的多值模糊问题,提出一种基于预处理MUSIC算法的DOA估计方法。利用旋转不变子空间算法得到无模糊粗估计。根据分布式阵列方向图主瓣和第一栅瓣的最小间距,结合粗估计的估计精度,确定MUSIC算法的搜索区间,再在确定的搜索区间用MUSIC算法得到无模糊精估计。提出的算法的估计精度高于双尺度ESPRIT算法,且计算量比经典MUSIC算法小。仿真结果验证了算法的有效性。
As for the multiple value ambiguity problem of Direction of Arrival（DOA）estimation with distributed array via classical Multiple Signal Classification（MUSIC）algorithm,a DOA estimation method based on preprocessing MUSIC algorithm is proposed.Firstly,unambiguous coarse estimation is obtained with Estimation of Signal Parameters via Rotational Invariance Techniques（ESPRIT）algorithm;then MUSIC search region which contains not grating lobes but main-lobe of the array pattern is determined based on the coarse estimation and the smallest distance between main-lobe and the first grating lobe,and MUSIC spacial spectrum in the region determined will contain no false peaks,therefore,ambiguity can be avoided.Finally,spectrum MUSIC algorithm is performed in the determined search region to obtain unambiguous and fine estimation.The accuracy of the algorithm proposed is higher than that of dual-size ESPRIT algorithm,and the computational load is lowered compared to classical MUSIC algorithm.The simulation results show that the algorithm proposed is valid.
作者
杨明磊
张燕
高龙超
马亮
YANG Ming-lei;ZHANG Yan;GAO Long-chao;MA Liang(National Lab. of Radar Signal Processing, Xidian Univ. , Xi＇an Shannxi 710071, China;Shanghai Radio Equipment Research Institute, Shanghai 200090, China;China Electronic Technology Group Corporation No. 10 Research Institute, Chengdu Sichuan 610036, China)
出处
《制导与引信》
2017年第3期10-15,19,共7页
Guidance & Fuze
基金
上海航天科技创新基金
编号:SAST2015071
SAST2015064
国家自然科学基金资助项目
编号:61571344
关键词
分布式阵列
波达方向
解模糊
多重信号分类
distributed array
direction of arrival （DOA）
disambiguation
multiple signal classification（MUSIC）
作者简介
杨明磊（1981-），男，博士研究生，主要从事新体制雷达系统、阵列信号处理技术研究。
