Adaptive Channel Estimation in OFDM System Using Cyclic Prefix (Kalman Filter Approach)

• 作者: K. SATYA PRASAD P. V. NAGANJANEYULU
• 来源期刊: 通讯、网络与系统学国际期刊(英文)
• 学科: 工学
• 关键词: CYCLIC PREFIX KALMAN FILTER
• 年，卷（期）: 2009,（9）
• 页码范围: 852-856
• 页数: 5页
• 分类号: TN91

摘要

OFDM is a promising technique for high data rate transmission and the channel estimation is very important for implementation of OFDM. In this paper, cyclic prefix (CP) can be used as a source of channel information which is originally used to reduce inter symbol interference (ISI). Based on this CP observation, we propose two cross coupled dual Kalman filters to track the channel variations without additional training sequences. One Kalman filter AR parameter estimation and another for fading channel estimation.