Double decision-feedback multiple differential detection for double differential encoding

Abstract

This paper proposes double decision-feedback multiple differential detection (DDFMDD) of double differential encoding (DDE) for fast time-varying Rayleigh fading. DDE can improve tracking capability at a large modulation alphabet size. In order to improve performance in the required signal to noise power ratio (SNR) and tracking capability aiming at higher frequency efficiency, the proposed DDFMDD employs decision-feedback multiple differential detection (DFMDD) with channel averaging and DFMDD with channel prediction. Finally, computer simulation results confirm that the proposed DDFMDD has excellent bit error rate (BER) performance for fast time-varying Rayleigh fading at a larger modulation alphabet size.