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《CHINESE JOURNAL OF RADIO SCIENCE》 2000-02
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Neural network based blind space time channel estimation in antenna array CDMA systems

SONG Rong fang 1,2 , BI Guang guo 1 (1. Southeast University, Nanjing 210096, China; 2.Nanjing University of Posts & Telecommunications, Nanjing 210003, China)  
One approach for increase of spectrum efficiency in digital cellular is the use of spread spectrum CDMA technology. Another approach that shows real promise for substantial capacity enhancement is the use of spatial processing with antenna array. Adaptive antenna array can steer the beam towards the desired user and mitigate interference from other users. Constrained optimization model for blind space time channel estimation in antenna array CDMA systems was proposed in this paper. The complex optimization model was transformed into real one and the equivalence was proved. Then, the neural network implementation of the model was presented for real time parallel processing. The global convergence of the network was analyzed and the performance was simulated by computer.
【Fund】: 国家自然科学基金资助项目! (6 9882 0 0 4);; 原邮电部预研基金!(98部预 4)
【CateGory Index】: TN82
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