摘要
以文献 [3]中 Divalar等人给出的部分并行干扰消除算法为基础 ,提出了一种改进的部分干扰消除算法。文献 [3]中 ,所有用户在某个特定的干扰消除阶段取相同的权值。而在此算法中 ,考虑到符号值的判决随用户的不同可能产生差异 ,因而在某个特定的干扰消除阶段 ,我们允许每个用户有各自不同的权值。这些权值通过最小化接收信号和其估值间的均方误差而获得。此算法复杂度和用户数呈线性关系 ,复杂度远低于线性多用户检测器。通过在高斯白噪声信道中进行仿真 ,结果表明 ,本文提出的这种部分干扰消除算法的性能优于文献
In this paper, we propose an improved partial parallel interference cancellation algorithm based on the partial interference cancellation approach suggested by Divalar and Simon . In this scheme, allowing for the reliability of data estimations to vary from one user to another, it is more reasonable for each user to have its own weight, rather than one constant weight for all users in each stage . The weights are obtained by minimizing the mean square error between the receiver signal and its estimate through a least mean square (LMS) algorithm. The implementation complexity of the algorithm is linear in the number of users, which is much lower than that of linear multiuse detectors. In AWGN channel, simulation results show that the proposed scheme outperforms the partial parallel interference cancellation.
出处
《铁道学报》
EI
CAS
CSCD
北大核心
2001年第5期46-49,共4页
Journal of the China Railway Society
关键词
码分多址
CDMA
并行干扰消除
LMS算法
code division multiple access (CDMA)
parallel interference cancellation
least mean aquare(LMS) algorithm
