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首页> 外文会议>International Conference on ITS(Intelligent Transport Systems Standardization) Telecommunications Proceedings(ITST2006); 20060621-23; Chengdu(CN) >Nonlinear Multiuser Detection based on SVM in Fading Channel with Impulse Noise
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Nonlinear Multiuser Detection based on SVM in Fading Channel with Impulse Noise

机译：基于SVM的脉冲噪声衰落信道非线性多用户检测

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摘要

In Direct Sequence Code Division Multiple Access system, many users' signals can be transmitted through the same frequency band. Because of the multiple access interference and the nonlinearity of channel, the performance of linear detector will be degraded substantially. Especially in the case of non-Gaussian noise environment (e.g. impulse noise), traditional linear techniques become incapable. In this paper, Support Vector Machine, a nonlinear method based on the statistical learning theory, is proposed to implement the multiuser detector (MUD). As the simulation results show, the performance of SVM MUD is very close to the optimal detector and prior to the linear MUD. The method of solving the nonlinear classification and regression has huge potential in application of signal processing.
机译：在直接序列码分多址系统中，许多用户的信号可以通过同一频带传输。由于多址干扰和信道的非线性，线性检测器的性能将大大降低。尤其是在非高斯噪声环境（例如脉冲噪声）的情况下，传统的线性技术变得无能为力。本文提出了一种基于统计学习理论的非线性支持向量机，以实现多用户检测器（MUD）。仿真结果表明，SVM MUD的性能非常接近最优检测器，并且优于线性MUD。解决非线性分类和回归的方法在信号处理中具有巨大的潜力。

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