ANFIS for parameter estimation in coherent communications phase synchronization
J.T. Drake, N.R. Prasad · 2002
The use of soft computing techniques in coherent communications phase synchronization provides an alternative to analytical or hard computing methods. The paper discusses a novel use of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for phase synchronization in coherent communications systems utilizing multiple phase shift keying (M-PSK) modulation. A brief overview of the M-PSK digital communications bandpass modulation technique is presented and its requisite need for phase synchronization is discussed. We briefly describe the hybrid platform developed by J.-S. Jang et al. (1997) that incorporates fuzzy/neural structures, namely the Adaptive Neuro-Fuzzy Interference Systems (ANFIS). We then discuss the application of ANFIS to phase estimation for M-PSK. The modeling of an implicit phase estimation scheme for M-PSK symbols with unknown structure are discussed. Performance results from simulation of the above scheme are presented.