Presentation 1996/8/9
Regularization Approach for Detection of Cyclostationary Signals in Antenna Array Processing
J Xin, H Tsuji, S. Yoshimoto,
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Abstract(in English) The applications of adaptive beamforming techniques to mobile communication systems have received much attention, in order to enhance the desired signals and reduce the unavoidable increase of interference and noise. However, in the existing methods, the knowledge of the number of the signals of interest (SOI) and their directions of arrival (DOA) is required. In this paper, we investigate the detection of SOI impinging on an array sensors from the regularization viewpoint. By considering the estimation perturbation of the cyclic correlation function, an efficient cyclic scheme is proposed, where the number of SOI is determined by comparing the eigenvalues of cyclic covariance matrix and the regularization parameters, which are introduced to stabilize the estimate of linear prediction coefficients. Furthermore, an iterative regularization algorithm is given to detect the desired cyclostationary signals from the only accessible data. The effectiveness of the proposed approach is demonstrated through the numerical examples.
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Keyword(in English) Cyclostationarity / corrected least squares (CLS) estimate / regularization
Paper # RCS-96-76
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Committee RCS
Conference Date 1996/8/9(1days)
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Registration To Radio Communication Systems (RCS)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Regularization Approach for Detection of Cyclostationary Signals in Antenna Array Processing
Sub Title (in English)
Keyword(1) Cyclostationarity
Keyword(2) corrected least squares (CLS) estimate
Keyword(3) regularization
1st Author's Name J Xin
1st Author's Affiliation Communication Research Laboratory, MPT()
2nd Author's Name H Tsuji
2nd Author's Affiliation Communication Research Laboratory, MPT
3rd Author's Name S. Yoshimoto
3rd Author's Affiliation Communication Research Laboratory, MPT
Date 1996/8/9
Paper # RCS-96-76
Volume (vol) vol.96
Number (no) 213
Page pp.pp.-
#Pages 8
Date of Issue