Maximum Likelihood Estimation of Carrier Frequency Offset for MIMO-OFDM Systems with Precoding

• Main Authors: Meng-Yu Xie, 謝孟育
• Other Authors: Miin-Jong Hao
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/19431669704850893008

碩士 === 國立高雄第一科技大學 === 電腦與通訊工程研究所 === 99 === Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO) , which not only affects the channel estimation but also the selection of a minimum error probability based precoder for peak-to-average power ratio (PAPR) reduction such that the system performance will degrade. This thesis presents the scheme of CFO estimation in the MIMO-OFDM systems with the minimum error probability based precoder for reducing PAPR. First, a minimum error probability based precoding matrix to reduce the PAPR of OFDM signals is designed. The CFO estimation is based on maximum likelihood (ML) solution. Simulation results show that the mean square error (MSE) performance of CFO estimator in multiple antennas OFDM systems is better than that with the single antenna OFDM system.