Signal-to-noise ratio estimation for M-QAM signals in η−μand κ−μfading channels

• Main Authors: Wamberto José Lira de Queiroz, Danilo Brito Teixeira de Almeida, Francisco Madeiro, Waslon Terllizzie Araújo Lopes
• Format: Article
• Language: English
• Published: SpringerOpen 2019-03-01
• Series: EURASIP Journal on Advances in Signal Processing
• Subjects: SNR estimation; Fading channels; η−μ fading; κ−μ fading; Method of moments
• Online Access: http://link.springer.com/article/10.1186/s13634-019-0607-7
• ISSN: 1687-6180

Abstract In this paper, signal-to-noise ratio (SNR) estimation is carried out by the method of moments (MOM) for fading channels modeled by probability distributions η−μ and κ−μ, considering M-ary quadrature amplitude modulation (M-QAM) with constellation energy normalized to one. New expressions are presented for the SNR estimation and for the mean, variance, and normalized mean square error (NMSE) of the estimates, obtained by a statistical linearization argument. Additionally, it is shown how to obtain the SNR estimate for Nakagami-m channel from the estimation derived for the models η−μ and κ−μ. The results obtained from the analytical expressions are corroborated by simulation results and show that the MOM is a suitable alternative for scenarios in which the mathematical tractability does not suggest the application of other estimation techniques.