SPC02-5: Pilot-Aided Channel Estimation and Viterbi Equalization for OFDM over Doubly-Selective Channel

In Orthogonal Frequency Division Multiplexing (OFDM) transmissions over doubly-selective channels, pilot-aided channel estimation is a practical approach to obtain channel estimates. In this paper, we apply Bessel model for channel modeling based on which pilot-aided channel estimation is performed. The utilization of Bessel model enables the estimation of intercarrier interference (ICI) effect of the neighboring subcarriers. A low complexity Viterbi-type Maximum Likelihood (ML) equalizer then uses the Bessel model-based channel estimates for equalization, displaying good bit-error rate (BER) performance. Monte-Carlo simulations show that the combination of Viterbi-type ML equalization and Bessel model-based estimates yields improved BER performance over other combinations of linear equalization and finite parameter model-based estimates.