基于改进信息最大化法的盲多用户检测
Blind Multi-user Detection Based on Improved Information Maximization
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摘要: 针对多用户检测中的多址干扰（MAI），给出了改进信息最大化（I_infomax）的盲多用户检测算法．该算法利用扩频码初始化学习向量，实现了多用户的盲检测．仿真结果及分析表明，算法在误码率、收敛速度和用户容量等方面优于Infomax算法及传统盲多用户检测算法．Abstract: An improved Infomax blind multi-user detection method is presented for multi-access interference(MAI).The method initializes the learning vector by utilizing spreading code sequence to blindly detect multiple users.Simulations and analysis indicate that I informax is better than Informax and other blind multi-user detectors in bit error rate,convergence speed and user capability.
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