数据采集与处理2012，Vol.27Issue(2)：225-229,5.
核空间的LMS自适应多用户检测算法
Kernel Space-Based LMS Multi-user Detection Algorithm
摘要
Abstract
A kernel-based LMS (KLMS) multi-user detection method is presented. The KLMS detection projects the received signal of direct-sequence code division multiple access (DS-CD MA) system to high-dimensional character space by a Gaussian kernel function, and then uses linear detection. By using the kernel technique, all calculation is in the low-dimensional space, thus avoiding complex calculation in high-dimensional space. It is a nonlinear multi-user detec tor for original space data. And the performance is closer to that of the optimum detector. Sim ulation results show that by choosing a suitable kernel parameter, KLMS can provide faster convergency with the same stable error, compared with other LMS of variable step sizes.关键词
多用户检测/核空间/LMSKey words
multi-user detection/ kernel space/ LMS分类
信息技术与安全科学引用本文复制引用
解明辉,李文元,李少根..核空间的LMS自适应多用户检测算法[J].数据采集与处理,2012,27(2):225-229,5.基金项目
国家自然科学基金(50323005)资助项目. （50323005）
