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《Chinese Journal of Radio Science》 2004-02
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Blind beamforming using neural network

SUN Xu-bao 1,2 ZHONG Shun-shi 1 (1.School of Communication and Information Engineering,Shanghai University,Shanghai 200072,China; 2.Department of Basic Course,ShanDong University of Science and Technology,Taian Shandong 271019,China)  
This paper proposes an approach of the blind beamforming with the radial basis function neural network for smart antennas in the wireless mobile communications. The symmetry property in the correlation matrix is exploited to reduce the dimension of the input vectors.One needs only either the upper (or the lower triangular) half of the correlation matrix. The advantages of the proposed method include reductions in computation with fast converging speed and the quality of being precise .The simulating results are agree well with the theory and confirm the validity of this method.
【CateGory Index】: TN82
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