Title :
SNR Estimation for a Non-Coherent M-FSK Receiver in a Rayleigh Fading Environment
Author :
Hassan, S.A. ; Ingram, M.A.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
This paper deals with the problem of estimating average signal-to-noise ratio (SNR) for a communication system employing non-coherent M-ary frequency shift keying (NCMFSK) over fading channels and white Gaussian noise (AWGN). We derive two estimators; one using maximum likelihood (ML) approach and other using the data statistics. Various scenarios have been taken into account including data-aided (DA), non-data aided (NDA) and joint estimation using both the data and pilot sequences. We also derive the Cramer-Rao bound (CRB) for the estimators. The results show that for a particular region of interest (e.g. high SNR or low SNR) and depending upon the availability of pilot sequence, a particular SNR estimation scheme is suitable.
Keywords :
AWGN; Rayleigh channels; frequency shift keying; maximum likelihood estimation; radio receivers; AWGN; Cramer-Rao bound; Rayleigh fading; SNR estimation; maximum likelihood approach; non-coherent M-ary frequency shift keying; noncoherent M-FSK receiver; signal-to-noise ratio; white Gaussian noise; AWGN; Availability; Fading; Frequency estimation; Frequency shift keying; Gaussian noise; Maximum likelihood estimation; Rayleigh channels; Signal to noise ratio; Statistics;
Conference_Titel :
Communications (ICC), 2010 IEEE International Conference on
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-6402-9
DOI :
10.1109/ICC.2010.5502690