DS-CDMA上行链路盲源分离多用户检测器

A Improved Multi-user Detection Based on Blind Source Separation

独立分量分析的盲源分离应用于DS-CDMA通信系统中上行链路的多用户检测存在幅值和次序的不确定性,会造成检测误码率增大,系统稳定性下降等问题。基于峭度的ICA多用户检测的建立,结合接收混合信号与分离信号的相关性调整,提出了一种新的基于ICA盲多用户检测方法。新算法可有效提高系统抑制多址干扰的能力。仿真验证表明该方法的检测性能更好。

Increasing of Bit Error Rate and declining of stability may be obtained when blind source separation algorithm on Independent Component Analysis （ICA） is applied in Multi-user detection on uplink of Direct Sequence Spread Spectrum Code Division Multiple Address （DS-CDMA） system due to uncertainties on scaling and permutation. Considering the deficiencies of these and multi- user detection proposed,a new algorithm of multi-user detection proposed on ICA was given. The development of ICA algorithm on Kurtosis and the correlation adjustment of received mixture signals and extracted signals,which improve suppression capacity of Multiple Access Interference （MAI）. The results of simulation show that the method has better detection nenCorrnnce.