基于ML准则的DS-CDMA系统盲干扰抑制方案

阐述了DSCDMA系统中多址干扰(MAI)与码间干扰(ISI)的盲去除问题。在最大似然准则(ML)的基础上，利用发送符号的统计特性与信道所具有的加性高斯噪声模型特征，根据导出的线性约束条件，通过EM算法实现了对盲接收机滤波器系数的优化更新。仿真结果表明本方案能有效地克服远近效应带来的多址干扰，而且在较短的接收数据长度条件下具有很好的收敛性能,对于高速率CDMA系统具有一定的参考价值。

Blind interference cancellation approach based on ML criterion in DS-CDMA system

The authors discuss the problem of blind cancellation of MAI and ISI in DS CDMA in this paper. Based on the ML Criterion, the authors provide one EM approach to optimize the coefficients of the blind receiver.and the statistical features of transmitted symbols and the character of AWGN. The authors also derive one linear constraint from these coefficients. Through computer simulations it shows that the proposed blind interference cancellation approach exhibits considerable near far resistance and attains convergence using small blocks of observations.The authors conclude that this approach is valuable in WCDMA.