电讯技术Issue(5)：584-588,5.DOI:10.3969/j.issn.1001-893x.2014.05.011
修正的干扰噪声自相关矩阵重构波束形成算法
A Modified Interference-plus-noise Covariance Matrix Reconstruction Algorithm for Beamformer
丛凤翔 1王伟 2魏东兴1
作者信息
- 1. 大连理工大学 信息与通信工程学院，辽宁 大连116024
- 2. 解放军66440部队，石家庄050081
- 折叠
摘要
Abstract
To improve the performance reduction of sample matrix inversion( SMI) algorithm as the desired signal exists in training data,a modified interference-plus-noise covariance matrix reconstructing( CMR) algorithm is proposed in this paper. The algorithm firstly uses the eigenvector corresponding to the mini-mum eigenvalue of the sample autocovariance matrix to structure the space distribution coefficient,and then accumulates it on the range except the direction of the desired signal to reconstruct the interference-plus-noise covariance matrix. In the presence of coherent signals,the element in the max eigenvector can be uti-lized to make the covariance matrix a Toeplitz matrix,and then the CMR algorithm( Toeplitz CMR,TCMR) can be used. Simulation and experiment results demonstrate that the CMR algorithm applied in incoherent signal circumstance and the TCMR algorithm applied in coherent signal circumstance have better output performance.关键词
波束形成/特征空间分解/自相关矩阵重构/相干信号/托普利兹矩阵Key words
adaptive beamforming/eigenspace decomposition/covariance matrix reconstruction/coherent signals/Toeplitz matrix分类
信息技术与安全科学引用本文复制引用
丛凤翔,王伟,魏东兴..修正的干扰噪声自相关矩阵重构波束形成算法[J].电讯技术,2014,(5):584-588,5.
