文献类型：期刊文献

英文题名：Improved multi-user detector based on Kalman filter

作者：Liu, Hui; Zhao, Le-Jun

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China

年份：2006

卷号：32

期号：11

起止页码：1337

外文期刊名：Huadong Ligong Daxue Xuebao /Journal of East China University of Science and Technology

收录：EI(收录号：20070310373209)

语种：英文

摘要：Models of asynchronous Gauss channel and multi-path fading channel are introduced. And a state-space model is applied to the latter multi-user CDMA system channel model, according to which a multi-user detector 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 sum of the state estimates in a symbol interval is calculated and then maximum ratio 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 the proposed detector has an advantage of fast convergence, and can effectively restrain the 'near-far' resistance.