A New Channel Tracking Algorithm Based on Kalman Filter

摘要：

The estimation of a time-varying multipath fading channel is a difficult task for the receiver. Its performance can be improved if an appropriate channel estimation filter is used according to the prior knowledge of the fading channel. We propose an algorithm which uses the Kalman filter based on Clarke’s model to track the time-varying multipath fading channel. To reduce the complexity of the high-dimensional Kalman filter for channel estimation of the paths, we use a low-dimensional Kalman filter for the estimation of each path. We investigate into how to estimate the channel by the Kalman filter in the pilot-aided wireless system. Simulations show this algorithm is effective for the estimation of the fading channel when the performance of the channel estimation is presented in terms of the mean-square error(MSE).

关键词： Kalman filter channel estimation Clarke

作者: Linhai Li Bo Liu Hongyi Yu Hanying Hu

作者单位: Dept.of Commun.Engineering,Zhengzhou Information Science and Technology Institute P.O.BOX 1001,NO.828,Zhengzhou,Henan,P.R.China,450002

会议类型: 国际会议

会议名称: 第二届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 武汉

会议语种:英文

在线出版日期: 2006-09-01（万方平台首次上网日期，不代表论文的发表时间）