Subspace-Based Adaptive Beamforming with Off-Diagonal Elements 


Vol. 29,  No. 1, pp. 84-92, Jan.  2004


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  Abstract

Eigenstructure-based adaptive beamfoming has advantages of fast convergence and the insentivity to errors in the arrival angle of the desired signal. Eigen-decomposing the sample matrix to extract a basis for the SI (signal plus interference) subspace, however, is very computationally expensive. In this paper, we present a simple subspace based beamforming which utilizes off-diagonal elements of the sample matrix to estimate the SI subspace. The outputs of overlapped subarrays are combined to produce the final adaptive output, which improves SINR (signal-to-interference-plus-noise ratio) comapred to exploiting a single subarray. The proposed adaptive beamformer, which employs an efficient angle estimation, is very roubust to errors in both the arrival angles and the number of the incident signals, while the eigenstructure-based beamforer suffers from severe performance degradation.

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  Cite this article

[IEEE Style]

Y. Choi and J. Eom, "Subspace-Based Adaptive Beamforming with Off-Diagonal Elements," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 1, pp. 84-92, 2004. DOI: .

[ACM Style]

Yang-Ho Choi and Jae-Hyuck Eom. 2004. Subspace-Based Adaptive Beamforming with Off-Diagonal Elements. The Journal of Korean Institute of Communications and Information Sciences, 29, 1, (2004), 84-92. DOI: .

[KICS Style]

Yang-Ho Choi and Jae-Hyuck Eom, "Subspace-Based Adaptive Beamforming with Off-Diagonal Elements," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 1, pp. 84-92, 1. 2004.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880