基于连续稀疏重构的宽频段二维波达方向估计  

Broadband 2-D DOA Estimation Based on Continuous Sparse Recovery

作　　者：吴晨曦[1] 张旻[1] 王可人[1] Wu Chenxi;Zhang Min;Wang Keren(Electronic Engineering Institute ofPLA,Hefei 230037,Chin)

机构地区：[1]解放军电子工程学院,安徽合肥230037

出　　处：《系统仿真学报》2018年第8期3015-3023,共9页Journal of System Simulation

基　　金：国家自然科学基金(61171170);安徽省自然科学基金(1408085QF115)

摘　　要：针对宽频段二维波达方向估计问题,设计三平行稀疏阵列,提出一种基于连续稀疏重构的DOA估计方法。对阵列接收数据进行降维处理,对互协方差矩阵向量化提高阵列自由度;建立一个基于全变分范数最小化的目标函数,通过求解相应的对偶问题实现对空间频率的估计;利用Capon方法实现信号频率、方位角和俯仰角之间的配对。理论分析表明,该方法具有较好的阵列自由度扩展能力,同时能有效避免模型失配问题对估计性能的影响。仿真结果验证了该方法的有效性。For the problem of two dimensional underdetermined direction of arrival （2-D DOA） estimation, three parallel sparse arrays are designed and a novel DOA method based on continuous sparse recovery is proposed. The dimension of received data is reduced and the cross covariance matrix is vectorized to improve freedom degree. According to the objection function of the minimization issue based on total variation norm constraint, the space frequency is achieved by solving corresponding dual problem. The center frequency, azimuth and pitch angles are paired by capon method. Theoretical analysis shows the proposed method has a higher array aperture extension and can neglect basis mismatch effects. Extensive simulation results demonstrate the effectiveness of the proposed method.

关 键 词：阵列信号处理 宽频段DOA估计 连续稀疏重构 全变分范数 

分 类 号：TN911.23[电子电信—通信与信息系统]