摘要
该文首先总结了DS—CDMA系统的异步高斯信道模型和多径衰落信道模型,接着重点讨论了用状态空间方程表述多径衰落信道模型的方法。在此基础上给出了基于Kalman滤波的非盲多用户检测算法,求出每个用户每条路径上的状态估计。然后针对期望用户,对一个符号内的状态估计求平均值,接着进行多径合并再判决。文章最后对两种信道模型进行算法仿真,分析其收敛性和抗“远-近”效应的性能。结果表明该文给出的算法收敛速度快,并且能有效地抑制“远-近”效应。
In this paper, models of asynchronous gauss channel and multi - path fading channel are introduced first. And a state - space model is applied to the latter multi - user CDMA system channel model, according to which a non - blind multi - user detection based on Kalman filter is proposed. Estimation of state vector using the Kalman filter yields state estimates of every path of each user. To detect the expected user＇ s symbol, the average of the state estimates in a symbol interval is calculated and then multi - path combination is applied for the following decision. Through simulations, we also analyze the algorithm＇s performances of convergence and anti - ＂near -far＂ resistance. Simulation results demonstrate that the proposed detector has the advantage of fast convergence, and can effectively restrain the ＂near - far＂ resistance.
出处
《计算机仿真》
CSCD
2006年第10期137-140,共4页
Computer Simulation
关键词
多用户检测
异步高斯信道
多径衰落信道
卡尔曼滤波
“远-近”效应
Multi- user detection
Asynchronous gauss channel
Multi - path fading channel
Kalman filtering
＂Near - far＂ resistance
