CFO estimation in OFDM systems under timing and channel length uncertainties with model averaging

In this letter, we investigate the problem of CFO estimation in OFDM systems when the timing offset and channel length are not exactly known. Instead of explicitly estimating the timing offset and channel length, we employ a multi-model approach, where the timing offset and channel length can take multiple values with certain probabilities. The effect of multimodel is directly incorporated into the CFO estimator. Results show that the proposed estimator outperforms the estimator selecting only the most probable model and the method taking the maximal model.

• Type: Journal
• Year: 2010
• Where: TWC
• Authors: Kun Cai, Xiao Li, Jian Du, Yik-Chung Wu, Feifei Gao
• Keywords: Artificial Intelligence, Cfo Estimator, Channel Length, Estimator, TWC 2010