电讯技术Issue(3)：278-282,5.DOI:10.3969/j.issn.1001-893x.2014.03.006
采用降秩多级维纳滤波器的二维DOA估计快速算法
Fast Algorithm for Two-Dimensional Direction-of-Arrival Estimation Based on MSWF
摘要
Abstract
In two-dimensional direction-of-arrival ( DOA) estimation of two parallel linear arrays,a fast method is presented based on multi-stage Wiener filter( MSWF) to reduce the computational complexity. First,signal subspace is obtained quickly by using the forward recursions of the MSWF instead of estimating covariance matrix and eigen decomposition. Then, azimuth and elevation angles are estimated individually by MUSIC algorithm and paired automatically, which converts the 2-D estimation into two 1-D problems and decreases the computational complexity further. The simulation results indicate that the performances of the algorithm are better than that of DOA Matrix Method( DOAM) which is also based on the same array model. The proposed algorithm is also effective when elevation angles are equal and its computational com-plexity is low, so it is suitable for high real-time DOA estimation.关键词
波达方向估计/多级维纳滤波器/快速算法/参数配对Key words
DOA estimation/multi-stage Wiener filter/fast algorithm/pair-matching分类
信息技术与安全科学引用本文复制引用
李磊,李国林,路翠华..采用降秩多级维纳滤波器的二维DOA估计快速算法[J].电讯技术,2014,(3):278-282,5.基金项目
国家自然科学基金资助项目(61102165)@@@@The National Natural Science Foundation of China(No.61102165) （61102165）
