【作者】 石绘红； 章惠全； 徐文；

【Author】 SHI Hui-hong,ZHANG Hui-quan,XU Wen (Department of Information Science and Electronic Engineering,Zhejiang University,Hangzhou Zhejiang 310027,China)

【机构】 浙江大学信息与电子工程学系；

【摘要】 该文针对高分辨力是源定位技术的重要目标,充分利用目标信号在空间域内的稀疏特性,提出了一种基于稀疏重建算法的波达方向估计方法。基于数据相关矩阵建立系统方程,以增加采样数和稀疏度的比值,并将系统维度降至最低。源的空间稀疏性由1-范数约束,通过凸优化算法重建信号的空间谱。此外,采用了局部网格细化方法,增加分辨力的同时降低对计算量的要求。最后,给出了数值仿真,与现有的一些方法进行对比分析,验证了该方法的高分辨能力及近似最优性。更多还原

【Abstract】 Resolving closely spaced sources is an important goal of source localization.In this paper,we present a high resolution method for direction-of-arrival(DOA) estimation based on sparse reconstruction algorithms. We establish the system equations based on the data correlation matrix,which increases the ratio of measurements to sparsity(RMS) and reduces the problem’ s dimensionality to the minimum.We impose the 11-norm as the sparsity penalty namely min 11-norm optimization which can be solved efficiently using convex optimization algorithms.Furthermore,the local grid refinement method is adopted to increase grid accuracy and reduce computational load.Numerical simulations demonstrate the effectiveness and near optimality of our proposed method versus other existing methods.更多还原