Title :
SNR Estimation for Non-Coherent M-FSK Receivers in Rice Fading Environment
Author :
Javed, U. ; Hassan, Syed Ali
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Nat. Univ. of Sci. & Technol. (NUST), Islamabad, Pakistan
Abstract :
The problem of estimating the average signal-to-noise ratio (SNR) in a non-coherent M-ary frequency shift keying (NCMFSK) receiver has been considered, where the transmitted signal is propagated over a noisy Ricean fading channel. Closed-form maximum likelihood estimators for both the data-aided and non data-aided scenarios have been derived using the approximations of the modified Bessel functions. Numerical results are presented and the performance of the estimators is evaluated by comparing with a Cramer-Rao bound.
Keywords :
Rician channels; frequency shift keying; maximum likelihood estimation; radio receivers; signal processing; Bessel functions; Cramer-Rao bound; NCMFSK receiver; Ricean fading channel; SNR estimation; average signal-to-noise ratio; closed form maximum likelihood estimators; noncoherent M-FSK receivers; noncoherent M-ary frequency shift keying; rice fading environment; Approximation methods; Fading; Frequency shift keying; Maximum likelihood estimation; Receivers; Signal to noise ratio; Rice fading; SNR estimation; maximum likelihood; non-coherent FSK;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2013.070913.131171
