Linear Data Estimators for UW-OFDM: Classical and Bayesian Approaches

UW-OFDM (unique word - orthogonal frequency division multiplexing) is a novel OFDM signaling concept, where the guard interval is built of a deterministic sequence - the so-called unique word - instead of the conventional random cyclic prefix. In contrast to previous attempts with deterministic sequences in the guard interval, the addressed UW-OFDM signaling approach introduces correlations between the subcarrier symbols, which can be exploited by the receiver in order to improve the bit error ratio performance. In this paper we develop several linear data estimators specifically designed for UW-OFDM, based on classical as well as on Bayesian estimation theory. We evaluate the estimators' performance for the additive white Gaussian noise channel and for selected indoor multipath channel scenarios.