Title :
SNR Estimation for a Non-Coherent M-FSK Receiver in a Slow Flat Fading Environment
Author :
Hassan, S.A. ; Ingram, M.A.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Estimation of the signal-to-noise ratio (SNR) is considered for a non-coherent M-ary frequency shift keying (NC-MFSK) receiver. It has been assumed that the transmitted symbols undergo a slow flat fading channel where a block of data is corrupted by an independent constant fade and additive white Gaussian noise. Two approaches for SNR estimation are reported in this paper: an approximate maximum likelihood approach and another using the data statistics, both for data aided and non-data aided systems. It has been shown that for a particular SNR region of interest and depending upon the availability of pilot symbols, a particular approach is suitable for SNR estimation.
Keywords :
AWGN; fading channels; frequency shift keying; maximum likelihood estimation; radio receivers; additive white Gaussian noise; approximate maximum likelihood approach; data statistics; independent constant fade; noncoherent M-ary frequency shift keying receiver; signal-to-noise ratio estimation; slow flat fading channel; Additive white noise; Binary phase shift keying; Fading; Frequency estimation; Frequency shift keying; Gaussian noise; Maximum likelihood estimation; Signal to noise ratio; Statistics; Wireless sensor networks;
Conference_Titel :
Communications (ICC), 2010 IEEE International Conference on
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-6402-9
DOI :
10.1109/ICC.2010.5502679