A support vector machine based detection method on rayleigh channel

Yang Heng; Zhang Xianda

Volume 24 Issue 2

Feb. 2002

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Article Navigation > Journal of Electronics & Information Technology > 2002 > 24(2): 257-260

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

Citation:

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

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

Citation:

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

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A support vector machine based detection method on rayleigh channel

Received Date: 2000-10-16
Rev Recd Date: 2001-05-10
Publish Date: 2002-02-19

Abstract

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 users symbol +1 and the other is the vectors of desired users symbol -1. So desired users 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.

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References(1)

References

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