Adaptive MIMO Time-Varying Channel Equalization Using Particle Filtering

摘要：

This paper addresses the problem of semi-blind Multi-Input Multi-Output (MIMO) equalization of non-Gaussian time-varying channels by employing particle filter methods. Based on the Middleton Class A noise model, we derive a state-space model that characterizes the behavior of the channel in time. The channel estimation and tracking are performed using particle filter, and a decision feedback equalizer derived using MMSE criterion is used to perform the equalization. Simulation result shows the validity of the proposed algorithm.

作者: Du Zheng-cong Tang Bin Li Ke

作者单位: School of Electronic Engineering University of Electronic Science and Technology of China Chengdu, 6 School of Information and Electrical Engineering Panzhihua University.Panzhihua, 617000, China

会议类型: 国际会议

会议名称: 2005年无线通信、网络和移动计算国际会议

会议地点: 武汉

会议语种:英文

页码: 123-126

在线出版日期: 2005-09-23（万方平台首次上网日期，不代表论文的发表时间）