| SVM multiuser detection based on heuristic kernel |
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| 作者姓名： | 杨涛 Hu Bo |
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| 作者单位： | Department of Electronics Engineering, Fudan University, Shanghai 200433, P.R.China |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | A support vector machine （SVM） based multiuser detection （MUD） scheme in code-division multi- ple-access （CDMA） system is proposed. In this scheme, the equivalent support vector （SV） is obtained through a kernel sparsity approximation algorithm, which avoids the conventional costly quadratic pro-gramming （QP） procedure in SVM. Besides, the coefficient of the SV is attained through the solution to a generalized eigenproblem. Simulation results show that the proposed scheme has almost the same bit er-ror rate （BER） as the standard SVM and is better than minimum mean square error （MMSE） scheme. Meanwhile, it has a low comoutation complexity.
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| 关 键 词： | 核心功能 支持矢量机械 多用户检测 通信 |
SVM multiuser detection based on heuristic kernel |
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| Yang Tao,Hu Bo.SVM multiuser detection based on heuristic kernel[J].High Technology Letters,2007,13(2):189-193. |
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| Authors: | Yang Tao Hu Bo |
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| Abstract: | A support vector machine (SVM) based multiuser detection (MUD) scheme in code-division multiple-access (CDMA) system is proposed. In this scheme, the equivalent support vector (SV) is obtained through a kernel sparsity approximation algorithm, which avoids the conventional costly quadratic programming (QP) procedure in SVM. Besides, the coefficient of the SV is attained through the solution to a generalized eigenproblem. Simulation results show that the proposed scheme has almost the same bit error rate (BER) as the standard SVM and is better than minimum mean square error (MMSE) scheme. Meanwhile, it has a low computation complexity. |
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| Keywords: | kernel function support vector machine multiuser detection code-division multiple-access |
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