Decision-Feedback Multiple Differential Detection Employing Simple First-Order Channel Prediction and Its Application to Acoustic Communications

Abstract

This paper proposes decision-feedback multiple differential detection (DFMDD) employing simple first-order channel prediction for time and frequency selective channels, i.e., double selective channels. For the sake of decision-feedback and simple channel prediction, the computational complexity of the proposed DFMDD is independent of the number of differential detection (DD) operations. Computer simulation results confirm that the proposed DFMDD has excellent bit error rate (BER) performance compared with the conventional DD on double selective fading channels. In addition, the field evaluation results in actual shallow underwater acoustic communications (UWAC) and terrestrial acoustic communications confirm that the proposed DFMDD has better BER performance than the conventional DD on fast time-varying channels.