Modified Decision Feedback Method for OFDM Channel Estimation with the Kalman Filter

• Main Authors: shiu-Hui Lee, 李淑惠
• Other Authors: Dah-Chung Chang
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/56889700989907812200

碩士 === 國立中央大學 === 通訊工程研究所碩士在職專班 === 96 === In an orthogonal frequency division multiplexing (OFDM) system, part of bandwidth is occupied by training symbols for channel estimation. In order to reduce the period of the training sequence while improving the bandwidth efficiency, we study a new time-domain channel tracking algorithm using a Kaman filter in the modified decision-feedback loop. In company with adaptive variance estimation in the Kalman filter for enhancing channel estimation, some decision error detectors and compensation methods are proposed for avoiding decision error propagation to reduce the error probability. In simulation results, we compare the performances of the proposed decision error detectors and compensation methods for different channel models to show the efficiency of the proposed algorithm