A Marginalized Particle Filtering-Based Approach for Carrier Frequency Offset and Doubly Selective Channel Estimation in OFDM Systems

摘要

In this paper, we propose a new scheme for joint estimation of carrier frequency offset (CFO) and doubly selective channel in orthogonal frequency division multiplexing systems. In the proposed preamble-aided method, first, the time-varying channel is represented using basis expansion model (BEM) which considerably reduces the number of channel parameters to be estimated. Next CFO and BEM coefficients are estimated using principles of particle and Kalman filtering. The performance of the new method in multipath time-varying channels is investigated in comparison with previous schemes. The simulation results indicate a remarkable performance improvement in terms of the mean square errors of CFO and channel estimates.