一种基于支撑矢量机的多用户检测算法

A Support Vector Machine-Based Algorithm for Multi-user Detection

与现有的机器学习算法相比 ,在样本有限的情况下 ,支撑矢量机具有更强的分类推广能力 .本文将支撑矢量机与多用户检测相结合 ,提出了一种新型的多用户检测算法 .理论推导和仿真结果表明该算法的有效性 .

With limited samples,SVM has stronger ability of generalization in comparison with existing machine learning algorithm.In this paper,the SVM is combined with the multi-user detection,and a novel multi-user detection algorithm is proposed.It is shown that the method is effective in theoretical analysis and computer simulations.