DS-CDMA盲多用户检测算法性能实验研究

Blind Multi-user detection algorithm in DS-CDMA system

针对CDMA下行链路仅知道目标用户自身扩频码这一情形,通过仿真实验对恒模、最小输出能量、递归最小二乘、Kalman滤波以及基于独立分量分析这几种线性和非线性盲多用户检测算法的误码率和信干比进行了性能比较和讨论.实验证明,基于独立分量分析的盲多用户检测算法具有较好的性能.为对算法工程实现提供具体的参考,本文对各算法的计算复杂度进行了分析.

Blind Multi-User Detection （BMUD） is mainly applied to downlink mobile user detection for the case of only knowing the spreading sequence of target user itself. In this paper, the performances of Bit Error Rate（BER） and Signal to Interference Ratio （SIR） are compared and discussed through simulating some linear and non-linear BMUD methods like constant modulus algorithm（CMA）, minor output energy（MOE）, recursive least-square（RLS）, Kalman filter and independent component analysis（ICA）. The experimental results show that the performance of ICA-based BMUD method is superior to those of the others. In addition, the computational complexity of these algorithms is also analyzed for engineering consideration.