Title :
ANFIS for parameter estimation in coherent communications phase synchronization
Author :
Drake, Jeffrey T. ; Prasad, Nadipuram R.
Author_Institution :
Klipsch Sch. of Electr. & Comput. Eng., New Mexico State Univ., Las Cruces, NM, USA
Abstract :
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
Keywords :
fuzzy neural nets; fuzzy set theory; inference mechanisms; phase estimation; phase shift keying; synchronisation; telecommunication computing; uncertainty handling; ANFIS; Adaptive Neuro-Fuzzy Inference Systems; M-PSK digital communications bandpass modulation technique; M-PSK modulation; M-PSK symbols; coherent communications phase synchronization; fuzzy/neural structures; hybrid platform; implicit phase estimation scheme; multiple phase shift keying; parameter estimation; phase synchronization; soft computing techniques; unknown structure; Parameter estimation;
Conference_Titel :
Neural Networks for Signal Processing XI, 2001. Proceedings of the 2001 IEEE Signal Processing Society Workshop
Conference_Location :
North Falmouth, MA
Print_ISBN :
0-7803-7196-8
DOI :
10.1109/NNSP.2001.943147
