短快拍条件下均匀矩形阵中的二维DOA估计  

Two-dimensional DOA Estimation Based on Uniform Rectangular Array with a Few Snapshots

作　　者：王波 刘德亮 张状和 方正 WANG Bo;LIU Deliang;ZHANG Zhuanghe;FANG Zheng(Missile Engineering Department,Army Engineering University Shijiazhuang Campus,Shijiazhuang 050003,China;Hebei Jiaotong Vocational and Technical College,Shijiazhuang 050035,China)

机构地区：[1]陆军工程大学石家庄校区导弹工程系,石家庄050003 [2]河北交通职业技术学院,石家庄050035

出　　处：《电讯技术》2019年第8期950-955,共6页Telecommunication Engineering

基　　金：国家自然科学基金青年科学基金项目(61601494)

摘　　要：二维波达方向(Direction of Arrival,DOA)估计能获取比一维DOA估计更多的空间位置信息,但是二维多重信号分类(Multiple Signal Classification,MUSIC)、二维子空间旋转不变估计技术(Estimation Signal Parameter via Rotational Invariance Techniques,ESPRIT)等经典算法依赖于大量的快拍数据,当快拍数据不足时估计性能严重下降甚至失效。针对上述问题,将迭代自适应方法拓展到二维DOA估计,提出了一种适用于矩形面阵的二维DOA估计算法,首先利用加权最小二乘法估计出信号幅值,然后利用循环迭代技术对估计结果进行更新。由于每次估计结果均来自上一次迭代,而不依赖于快拍数据,因此该算法在短快拍条件下具有很高的估计精度和分辨率。仿真结果表明,在短快拍条件下,该算法具有优越的估计性能。Tow-dimensional direction of arrival(2D DOA)estimation can obtain more spatial location information of signals than 1D DOA estimation.However,2D multiple signal classification(MUSIC)and 2D estimation signal parameter via rotational invariance techniques(ESPRIT)depend on a large amount of snapshots,which degrades sharply or even can’t work properly in case that the numbers of snapshot are insufficient.Regarding the problems mentioned above,a 2D DOA estimation algorithm for rectangular array is proposed.The proposed algorithm extends the iterative adaptive approach to 2D DOA estimation.Firstly,signal amplitude is obtained based on weighted least squares.Then estimation results are updated by loop iteration technique.Estimation results are obtained from last iteration process instead of snapshots.Hence,the proposed algorithm can achieve high estimation accuracy and resolution under the condition of low snapshots numbers.Simulation results demonstrate that the proposed method has superior estimation performance.

关 键 词：二维DOA估计 均匀矩形阵 迭代自适应算法 

分 类 号：TN911.6[电子电信—通信与信息系统]