MVDR Algorithm Based on Estimated Diagonal Loading for Beamforming

Beamforming algorithm is widely used in many signal processing fields. At present, the typical beamforming algorithm is MVDR (Minimum Variance Distortionless Response). However, the performance of MVDR algorithm relies on the accurate covariance matrix. The MVDR algorithm declines dramatically with...

Full description

Bibliographic Details
Main Authors: Yuteng Xiao, Jihang Yin, Honggang Qi, Hongsheng Yin, Gang Hua
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2017/7904356
id doaj-02673165266f4547a1ef43d487d90397
record_format Article
spelling doaj-02673165266f4547a1ef43d487d903972020-11-24T21:16:51ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472017-01-01201710.1155/2017/79043567904356MVDR Algorithm Based on Estimated Diagonal Loading for BeamformingYuteng Xiao0Jihang Yin1Honggang Qi2Hongsheng Yin3Gang Hua4China University of Mining and Technology, Xuzhou 221116, ChinaChina University of Mining and Technology, Xuzhou 221116, ChinaUniversity of Chinese Academy of Sciences, Beijing 101408, ChinaChina University of Mining and Technology, Xuzhou 221116, ChinaChina University of Mining and Technology, Xuzhou 221116, ChinaBeamforming algorithm is widely used in many signal processing fields. At present, the typical beamforming algorithm is MVDR (Minimum Variance Distortionless Response). However, the performance of MVDR algorithm relies on the accurate covariance matrix. The MVDR algorithm declines dramatically with the inaccurate covariance matrix. To solve the problem, studying the beamforming array signal model and beamforming MVDR algorithm, we improve MVDR algorithm based on estimated diagonal loading for beamforming. MVDR optimization model based on diagonal loading compensation is established and the interval of the diagonal loading compensation value is deduced on the basis of the matrix theory. The optimal diagonal loading value in the interval is also determined through the experimental method. The experimental results show that the algorithm compared with existing algorithms is practical and effective.http://dx.doi.org/10.1155/2017/7904356
collection DOAJ
language English
format Article
sources DOAJ
author Yuteng Xiao
Jihang Yin
Honggang Qi
Hongsheng Yin
Gang Hua
spellingShingle Yuteng Xiao
Jihang Yin
Honggang Qi
Hongsheng Yin
Gang Hua
MVDR Algorithm Based on Estimated Diagonal Loading for Beamforming
Mathematical Problems in Engineering
author_facet Yuteng Xiao
Jihang Yin
Honggang Qi
Hongsheng Yin
Gang Hua
author_sort Yuteng Xiao
title MVDR Algorithm Based on Estimated Diagonal Loading for Beamforming
title_short MVDR Algorithm Based on Estimated Diagonal Loading for Beamforming
title_full MVDR Algorithm Based on Estimated Diagonal Loading for Beamforming
title_fullStr MVDR Algorithm Based on Estimated Diagonal Loading for Beamforming
title_full_unstemmed MVDR Algorithm Based on Estimated Diagonal Loading for Beamforming
title_sort mvdr algorithm based on estimated diagonal loading for beamforming
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2017-01-01
description Beamforming algorithm is widely used in many signal processing fields. At present, the typical beamforming algorithm is MVDR (Minimum Variance Distortionless Response). However, the performance of MVDR algorithm relies on the accurate covariance matrix. The MVDR algorithm declines dramatically with the inaccurate covariance matrix. To solve the problem, studying the beamforming array signal model and beamforming MVDR algorithm, we improve MVDR algorithm based on estimated diagonal loading for beamforming. MVDR optimization model based on diagonal loading compensation is established and the interval of the diagonal loading compensation value is deduced on the basis of the matrix theory. The optimal diagonal loading value in the interval is also determined through the experimental method. The experimental results show that the algorithm compared with existing algorithms is practical and effective.
url http://dx.doi.org/10.1155/2017/7904356
work_keys_str_mv AT yutengxiao mvdralgorithmbasedonestimateddiagonalloadingforbeamforming
AT jihangyin mvdralgorithmbasedonestimateddiagonalloadingforbeamforming
AT honggangqi mvdralgorithmbasedonestimateddiagonalloadingforbeamforming
AT hongshengyin mvdralgorithmbasedonestimateddiagonalloadingforbeamforming
AT ganghua mvdralgorithmbasedonestimateddiagonalloadingforbeamforming
_version_ 1726015359613403136