Robust cyclic adaptive beamforming under cycle frequency error

Ai Min Zhang; Jing Lin; Xiu Lin Li

Robust cyclic adaptive beamforming under cycle frequency error

Ai Min Zhang^*
, Jing Lin
, Xiu Lin Li

^*Corresponding author for this work

CAS - Institute of Acoustics
University of Chinese Academy of Sciences

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

Abstract

The performance of Cyclic Adaptive Beamforming (CAB) algorithm degrades severely when the estimation of the cycle frequency is not accurate. A robust CAB algorithm is proposed in this paper which overcomes the sensitivity to the Cycle Frequency Error (CFE). Simulations show that the performance of the proposed method when applied to CFE cases is almost as good as that of the original CAB method for the case without CFE.

Original language	English
Pages (from-to)	1393-1397
Number of pages	5
Journal	Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
Volume	27
Issue number	9
State	Published - Sep 2005
Externally published	Yes

Keywords

Blind beamforming
Cycle frequency error
Cyclostationary
Robust beamforming

Cite this

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title = "Robust cyclic adaptive beamforming under cycle frequency error",

abstract = "The performance of Cyclic Adaptive Beamforming (CAB) algorithm degrades severely when the estimation of the cycle frequency is not accurate. A robust CAB algorithm is proposed in this paper which overcomes the sensitivity to the Cycle Frequency Error (CFE). Simulations show that the performance of the proposed method when applied to CFE cases is almost as good as that of the original CAB method for the case without CFE.",

keywords = "Blind beamforming, Cycle frequency error, Cyclostationary, Robust beamforming",

author = "Zhang, \{Ai Min\} and Jing Lin and Li, \{Xiu Lin\}",

year = "2005",

month = sep,

language = "英语",

volume = "27",

pages = "1393--1397",

journal = "Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology",

issn = "1009-5896",

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TY - JOUR

T1 - Robust cyclic adaptive beamforming under cycle frequency error

AU - Zhang, Ai Min

AU - Lin, Jing

AU - Li, Xiu Lin

PY - 2005/9

Y1 - 2005/9

N2 - The performance of Cyclic Adaptive Beamforming (CAB) algorithm degrades severely when the estimation of the cycle frequency is not accurate. A robust CAB algorithm is proposed in this paper which overcomes the sensitivity to the Cycle Frequency Error (CFE). Simulations show that the performance of the proposed method when applied to CFE cases is almost as good as that of the original CAB method for the case without CFE.

AB - The performance of Cyclic Adaptive Beamforming (CAB) algorithm degrades severely when the estimation of the cycle frequency is not accurate. A robust CAB algorithm is proposed in this paper which overcomes the sensitivity to the Cycle Frequency Error (CFE). Simulations show that the performance of the proposed method when applied to CFE cases is almost as good as that of the original CAB method for the case without CFE.

KW - Blind beamforming

KW - Cycle frequency error

KW - Cyclostationary

KW - Robust beamforming

UR - https://www.scopus.com/pages/publications/26944450032

M3 - 文章

AN - SCOPUS:26944450032

SN - 1009-5896

VL - 27

SP - 1393

EP - 1397

JO - Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology

JF - Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology

IS - 9

ER -

Robust cyclic adaptive beamforming under cycle frequency error

Abstract

Keywords

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