Frequency Offset Estimation in OFDM Systems Using Bayesian Filtering
Orthogonal frequency division multiplexing (OFDM) is sensitive to carrier frequency offset (CFO) that causes intercarrier interference (ICI). In this paper, we present two schemes for the CFO estimation, which are based on rejection sampling (RS) and a form of particle filtering (PF) called kernel smoothing technique, respectively. The first scheme is offline estimation, where the observations contained in the OFDM training symbol are treated in the batch mode. The second scheme is online estimation, where the observations in the OFDM training symbol are treated in the sequential manner. Simulations are provided to illustrate the performances of the schemes. Performance comparisons of the two schemes and with other Bayesian methods are provided. Simulation results show that the two schemes are effective when estimating the CFO and can effectively combat the effect of ICI in OFDM systems.
carrier frequency offset (CFO) orthogonal frequency division multiplexing (OFDM) particle filtering rejection sampling
Yihua Yu
School of Science Beijing University of Posts and Telecommunications Beijing 100876, P. R. China
国际会议
2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)
长沙
英文
5-9
2010-12-14（万方平台首次上网日期，不代表论文的发表时间）