Gradient-Based Variable Forgetting Factor RLS Algorithm in MIMO-OFDM Channel Estimation

摘要：

This paper proposed a Gradient-Based Variable Forgetting Factor RLS (GVFF-RLS) algorithm in MIMO-OFDM channel estimation. This GVFF-RLS algorithm is preferable to the traditional RLS algorithm, which is based on the fixed forgetting factor in tracking system variation in time-varying system. After simulation, we can draw a conclusion that in timevarying system, this algorithm has faster tracking ability, less MSE and better astringency.

关键词： MIMO-OFDM RLS Forgetting factor Channel estimation

作者: LAN Hai-yan YANG Shen-yuan TAN Feng ZHAO Li-quan

作者单位: Harbin Engineering University College of Information and Communication Engineering Harbin,China

会议类型: 国际会议

会议名称: 第三届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 上海

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）