Rayleigh信道下的支持向量机多用户检测方法

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Abstract In DS-CDMA system with BPSK modulation, Support Vector Machine (SVM) based multiuser detection uses SVM classification method to classify received vectors into two classes. One is the received vectors of desired user’s symbol +1 and the other is the vectors of desired user’s symbol -1. So desired user’s symbol can be detected by this method. Different with MMSE method, SVM classifier finds the optimal separating hyperplane that separates the class of +1 and class of -1. Simulation results show that the performance of the SVM detector is better than that of MMSE detector in Rayleigh channels.

Key words： Rayleigh channol Support vector machine Two-class classification Multiuser detection

Received: 16 October 2000

PACS:	TN914.5
	TN911.23

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	Yang Heng
	Zhang Xianda

Cite this article:

Yang Heng,Zhang Xianda. A support vector machine based detection method on rayleigh channel[J]. , 2002, 24(2): 257-260 .

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http://jeit.ie.ac.cn/EN/ OR http://jeit.ie.ac.cn/EN/Y2002/V24/I2/257