当前位置: X-MOL 学术Int. J. Electron. Commun. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Modified spectral function based DOA estimation in colored noise
AEU - International Journal of Electronics and Communications ( IF 3.2 ) Pub Date : 2021-07-09 , DOI: 10.1016/j.aeue.2021.153892
Ye Tian 1, 2 , Xinyu Gao 2 , Ran Wang 2 , Zhiyan Dong 3 , He Xu 1
Affiliation  

With the wide application of large-scale antenna arrays in the field of radar, sonar and wireless communication, direction of arrival (DOA) estimation based on the general asymptotic theory (GAT) has received more and more attentions recently, which can effectively conquer the inconsistent estimation problem of sampling covariance matrix (SCM) in the scenarios that the number of sensor M is large and of the same order of magnitude as the number of snapshots N. From the GAT perspective, a new DOA estimation method (termed as SEMDT-M-MUSIC) in colored noise is investigated in this paper, which mainly comprises three steps, the first step is to obtain an improved SCM through covariance matrix shrinkage estimation, the second step is to eliminate the influence of the colored noise via the matrix difference technology, and the last step is to enhance the DOA estimation via the modified spectral function, where the phase transformation result of the spike covariance matrix is employed. Numerical simulations validate the effectiveness of the proposed method.



中文翻译:

有色噪声中基于修正谱函数的 DOA 估计

随着大规模天线阵列在雷达、声纳和无线通信领域的广泛应用,基于一般渐近理论(GAT)的到达方向(DOA)估计近年来受到越来越多的关注,它可以有效地克服采样协方差矩阵(SCM)的不一致估计问题 很大并且与快照数量具有相同的数量级 N. 本文从 GAT 的角度研究了一种新的有色噪声 DOA 估计方法(称为 SEMDT-M-MUSIC),主要包括三个步骤,第一步是通过协方差矩阵收缩估计获得改进的 SCM,第二步是通过矩阵差分技术消除有色噪声的影响,最后一步是通过改进的谱函数增强DOA估计,其中采用尖峰协方差矩阵的相位变换结果。数值模拟验证了所提出方法的有效性。

更新日期:2021-07-13
down
wechat
bug