基于最小敏感度的广义线性自适应波束形成算法

Liping Huo; Xingpeng Mao; Yunmei Shi; Shaowen Jia; Guangyan Li

doi:10.3969/j.issn.1001-506X.2019.03.02

基于最小敏感度的广义线性自适应波束形成算法

Translated title of the contribution: Widely linear adaptive beamforming algorithm based on minimum sensitivity

Liping Huo
, Xingpeng Mao
, Yunmei Shi
, Shaowen Jia
, Guangyan Li^*

^*Corresponding author for this work

School of Electronics and Information Engineering

School of Electronics and Information Engineering, Harbin Institute of Technology
Harbin Institute of Technology
Naval Aeronautics University Qingdao Branch
Northeast Normal University

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The conventional minimum variance distortionless response (MVDR) beamformer becomes suboptimal when the signals are noncircular, and performance of the optimal widely linear MVDR beamformer may degrade for finite number of training samples. To circumvent this issue, the minimum sensitivity based widely linear MVDR beamformer is proposed, which utilizes the noncircularity of the signals of interest and the interference signals. The optimal weight vector is derived by using the minimum sensitivity criterion. Simulation results demonstrate that the proposed method has a better performance in the case of low signal-to-noise ratio and snapshot deficiency.

Translated title of the contribution	Widely linear adaptive beamforming algorithm based on minimum sensitivity
Original language	Chinese (Traditional)
Pages (from-to)	471-475
Number of pages	5
Journal	Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume	41
Issue number	3
DOIs	https://doi.org/10.3969/j.issn.1001-506X.2019.03.02
State	Published - 1 Mar 2019

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title = "基于最小敏感度的广义线性自适应波束形成算法",

abstract = "The conventional minimum variance distortionless response (MVDR) beamformer becomes suboptimal when the signals are noncircular, and performance of the optimal widely linear MVDR beamformer may degrade for finite number of training samples. To circumvent this issue, the minimum sensitivity based widely linear MVDR beamformer is proposed, which utilizes the noncircularity of the signals of interest and the interference signals. The optimal weight vector is derived by using the minimum sensitivity criterion. Simulation results demonstrate that the proposed method has a better performance in the case of low signal-to-noise ratio and snapshot deficiency.",

keywords = "Adaptive beamforming, Minimum variance distortionless response (MVDR), Noncircular signal, Sensitivity",

author = "Liping Huo and Xingpeng Mao and Yunmei Shi and Shaowen Jia and Guangyan Li",

year = "2019",

month = mar,

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doi = "10.3969/j.issn.1001-506X.2019.03.02",

language = "繁体中文",

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journal = "Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics",

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T1 - 基于最小敏感度的广义线性自适应波束形成算法

AU - Huo, Liping

AU - Mao, Xingpeng

AU - Shi, Yunmei

AU - Jia, Shaowen

AU - Li, Guangyan

PY - 2019/3/1

Y1 - 2019/3/1

N2 - The conventional minimum variance distortionless response (MVDR) beamformer becomes suboptimal when the signals are noncircular, and performance of the optimal widely linear MVDR beamformer may degrade for finite number of training samples. To circumvent this issue, the minimum sensitivity based widely linear MVDR beamformer is proposed, which utilizes the noncircularity of the signals of interest and the interference signals. The optimal weight vector is derived by using the minimum sensitivity criterion. Simulation results demonstrate that the proposed method has a better performance in the case of low signal-to-noise ratio and snapshot deficiency.

AB - The conventional minimum variance distortionless response (MVDR) beamformer becomes suboptimal when the signals are noncircular, and performance of the optimal widely linear MVDR beamformer may degrade for finite number of training samples. To circumvent this issue, the minimum sensitivity based widely linear MVDR beamformer is proposed, which utilizes the noncircularity of the signals of interest and the interference signals. The optimal weight vector is derived by using the minimum sensitivity criterion. Simulation results demonstrate that the proposed method has a better performance in the case of low signal-to-noise ratio and snapshot deficiency.

KW - Adaptive beamforming

KW - Minimum variance distortionless response (MVDR)

KW - Noncircular signal

KW - Sensitivity

UR - https://www.scopus.com/pages/publications/85068354735

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DO - 10.3969/j.issn.1001-506X.2019.03.02

M3 - 文章

AN - SCOPUS:85068354735

SN - 1001-506X

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SP - 471

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JO - Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics

JF - Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics

IS - 3

ER -

基于最小敏感度的广义线性自适应波束形成算法

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