STEP-DOWN GROUPING MAXIMIZATION-LIKELIHOOD ALGORITHMS AND ITS APPLICATION IN DS-CDMA SYSTEM

摘要：

We focus on the maximization-likelihood algorithms and its application aimed at achieving satisfactory performance at the price of a moderate computational complexity.We propose a new algorithm named Step-down Grouping Maximization Likelihood (SGML).At the analysis stage, some interesting properties shared by the proposed procedures are proven.Finally, the performance assessment shows that the new schemes are superior to the linear detectors in DS-CDMA system, and some of them achieve a bit-error rate close to that of the optimum receiver.

关键词： Maximization likelihood Iterative detection Direct-sequence code-division multiple-access (DS-CDMA) systems Multi-user detection Step-down grouping maximization likelihood (SGML)

作者: LEI WANG LEI LI

作者单位: College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 2421-2426

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）