An adaptive channel estimation scheme for MIMO OFDM system

• Main Authors: Po-Ting Hwang, 黃伯廷
• Other Authors: Yung-Fang Chen
• Format: Others
• Language: en_US
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/31517648238597766430

碩士 === 國立中央大學 === 通訊工程研究所 === 92 === Multiple-input and multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems can be used to increase capacity in wireless communication. For the frequency-selective fading channel in wireband system, it is required to know the knowledge of channel parameters. In this thesis, we propose an adaptive recursive least-square (RLS) algorithm using optimum training sequences for channel estimation to improve the performance and reduce the complexity. Instead of tracking a large matrix inversion, we exploit the information of channel parameters that we have calculated to estimate the channel. Simulation results prove that the mean square error (MSE) performance of channel estimation and bit error rate (BER) are better with low signal- to-noise ratio (SNR) and low Doppler frequency.