一种短数据阵列信号波达方向估计方法  

A DOA Estimation Method for Small Sample Size Array Signal Processing

作　　者：李欣欣[1] 董玮[1] 蔡晓霞[1] 

机构地区：[1]电子工程学院,合肥230037

出　　处：《电子信息对抗技术》2016年第5期15-18,61,共5页Electronic Information Warfare Technology

摘　　要：针对传统子空间类算法在短数据测向的不足,提出一种基于稀疏信号描述的非参数最小均方迭代的幅度相位估计算法。该算法首先运用DAS波束形成对信号到达角进行初步估计,然后用最小均方误差准则及幅度相位估计算法(APES)对协方差矩阵进行迭代更新直至收敛。该方法能够在快拍数较少条件下进行DOA估计,且不需要估计信号源个数。理论分析和仿真实验表明其相对传统子空间类算法有较高的估计精度和分辨率。By theoretically analyzing the shortage of the traditional algorithm of DOA estimation with a small subspaee-based sample size, a non-parametric and least squares-based iterative algorithm is proposed for amplitude and phase estimation in array processing, which is based on the sparse signal representation. Utilizing a DAS beamformer for DOA estimation initially, this algorithm iteratively calculates the co-variance matrix until it reaches convergence. In sharp contrast with former method that needs to estimate the signals number, the proposed method can reach the aim of estimation even with few snapshots. Simulation results show that this algorithm performs better in estimation of precision and resolution.

关 键 词：短数据 DOA估计 迭代自适应 APES 

分 类 号：TN971.1[电子电信—信号与信息处理]