Fast adaptive blind beamforming technique for cyclostationary signals

Yuxin Chen; Zhenya He; T. S. Ng; P. C.K. Kwok

doi:10.1109/TENCON.1999.818468

Fast adaptive blind beamforming technique for cyclostationary signals

Yuxin Chen, Zhenya He, T. S. Ng, P. C.K. Kwok

Hong Kong Metropolitan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Castedo et al. (1995) have present a blind beamforming criterion based on the property of cyclostationary signals. A stochastic gradient-based algorithm, which needs to choose the step size suitably, was derived to compute the optimum weight vector. In this paper a fast adaptive algorithm is proposed. We show that the recursive least square techniques can be applied to solve this problem successfully by making an appropriate approximation. Simulation results demonstrate the effect of the theoretic analysis.

Original language	English
Title of host publication	IEEE Region 10 Annual International Conference, Proceedings/TENCON
Pages	530-533
Number of pages	4
ISBN (Electronic)	0780357396, 9780780357396
DOIs	https://doi.org/10.1109/TENCON.1999.818468
Publication status	Published - 1999
Event	1999 IEEE Region 10 Conference, TENCON 1999 - Cheju Island, Korea, Republic of Duration: 15 Sept 1999 → 17 Sept 1999

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume	1
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	1999 IEEE Region 10 Conference, TENCON 1999
Country/Territory	Korea, Republic of
City	Cheju Island
Period	15/09/99 → 17/09/99

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10.1109/TENCON.1999.818468

Cite this

@inproceedings{fa262967d78349d2a94d439ad070d57b,

title = "Fast adaptive blind beamforming technique for cyclostationary signals",

abstract = "Castedo et al. (1995) have present a blind beamforming criterion based on the property of cyclostationary signals. A stochastic gradient-based algorithm, which needs to choose the step size suitably, was derived to compute the optimum weight vector. In this paper a fast adaptive algorithm is proposed. We show that the recursive least square techniques can be applied to solve this problem successfully by making an appropriate approximation. Simulation results demonstrate the effect of the theoretic analysis.",

author = "Yuxin Chen and Zhenya He and Ng, {T. S.} and Kwok, {P. C.K.}",

note = "Funding Information: This work was supported by the National Natural Science Funds of China and URC of The University of Hong Kong. Publisher Copyright: {\textcopyright} 1999 IEEE.; 1999 IEEE Region 10 Conference, TENCON 1999 ; Conference date: 15-09-1999 Through 17-09-1999",

year = "1999",

doi = "10.1109/TENCON.1999.818468",

language = "English",

series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

pages = "530--533",

booktitle = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

}

Chen, Y, He, Z, Ng, TS & Kwok, PCK 1999, Fast adaptive blind beamforming technique for cyclostationary signals. in IEEE Region 10 Annual International Conference, Proceedings/TENCON. IEEE Region 10 Annual International Conference, Proceedings/TENCON, vol. 1, pp. 530-533, 1999 IEEE Region 10 Conference, TENCON 1999, Cheju Island, Korea, Republic of, 15/09/99. https://doi.org/10.1109/TENCON.1999.818468

Fast adaptive blind beamforming technique for cyclostationary signals. / Chen, Yuxin; He, Zhenya; Ng, T. S. et al.
IEEE Region 10 Annual International Conference, Proceedings/TENCON. 1999. p. 530-533 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fast adaptive blind beamforming technique for cyclostationary signals

AU - Chen, Yuxin

AU - He, Zhenya

AU - Ng, T. S.

AU - Kwok, P. C.K.

PY - 1999

Y1 - 1999

N2 - Castedo et al. (1995) have present a blind beamforming criterion based on the property of cyclostationary signals. A stochastic gradient-based algorithm, which needs to choose the step size suitably, was derived to compute the optimum weight vector. In this paper a fast adaptive algorithm is proposed. We show that the recursive least square techniques can be applied to solve this problem successfully by making an appropriate approximation. Simulation results demonstrate the effect of the theoretic analysis.

AB - Castedo et al. (1995) have present a blind beamforming criterion based on the property of cyclostationary signals. A stochastic gradient-based algorithm, which needs to choose the step size suitably, was derived to compute the optimum weight vector. In this paper a fast adaptive algorithm is proposed. We show that the recursive least square techniques can be applied to solve this problem successfully by making an appropriate approximation. Simulation results demonstrate the effect of the theoretic analysis.

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U2 - 10.1109/TENCON.1999.818468

DO - 10.1109/TENCON.1999.818468

M3 - Conference contribution

AN - SCOPUS:27744465127

T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON

SP - 530

EP - 533

BT - IEEE Region 10 Annual International Conference, Proceedings/TENCON

T2 - 1999 IEEE Region 10 Conference, TENCON 1999

Y2 - 15 September 1999 through 17 September 1999

ER -

Fast adaptive blind beamforming technique for cyclostationary signals

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