朱翠涛 张正鹏.大规模MIMO系统中联合范数去噪与矩阵重构的DOA估计[J].中南民族大学学报自然科学版,2020,39(2):180-185
大规模MIMO系统中联合范数去噪与矩阵重构的DOA估计
Combine norm denoising and matrix reconstruction method for DOA estimation in massive MIMO System
  
DOI:10.12130/znmdzk.20200213
中文关键词: 大规模MIMO  DOA估计  快拍数  协方差矩阵重构
英文关键词: massive MIMO  DOA estimation  snapshots  covariance matrix reconstruction
基金项目:国家自然科学基金项目(61671483); 湖北省自然科学基金项目(2016CFA089)
作者单位
朱翠涛 张正鹏 中南民族大学 电子信息工程学院武汉 430074 
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中文摘要:
      为了解决移动通信环境中,在低信噪比、少快拍数情况下信号波达方向(Direction of Arrival,DOA)估计性能差问题,提出一种联合范数去噪与Toeplitz矩阵重构的DOA估计算法。首先根据阵列协方差矩阵的Hermitian特性,利用协方差矩阵范数估计其最大特征值,进而估计噪声功率,然后对阵列协方差矩阵主对角元素进行去噪,再对去噪后的协方差矩阵重排。仿真结果表明:可以有效提高子空间类算法在低信噪比、少快拍数条件下的性能。
英文摘要:
      In order to address the problem of poor performance of the direction of arrival (DOA) estimation under the condition of low SNR and few snapshots in mobile communication, a DOA estimation method which combines norm denoising and Toeplitz matrix reconstruction is proposed. First, the algorithm estimates the maximum eigenvalue of the array covariance matrix based on Hermitian characteristics of array covariance matrix and estimates the noise power. Then the main diagonal elements of the array covariance matrix are denoised and the denoised covariance matrix is accordingly rearranged . The simulation results show that this method can effectively improve the performance of subspace-based algorithms under the circumstances of low SNR and few snapshots.
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