Title :
Performance analysis of SNR estimators in digital receivers
Author :
Chen, Yunfei ; Beaulieu, Norman C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada
Abstract :
The performances of the maximum likelihood (ML) signal-to-noise ratio (SNR) estimators developed in a companion paper [NC Beaulieu et al, 2005] are examined. Approximations to the probability density functions of the ML SNR estimates in a sampled signal processing receiver as well as a continuous time signal processing receiver are derived. Two measures of signal-to-noise ratio are studied in detail. The results are general and apply to both static additive white Gaussian noise channels and slowly fading channels.
Keywords :
AWGN channels; fading channels; maximum likelihood estimation; probability; radio receivers; signal processing; additive white Gaussian noise channels; continuous time signal processing receiver; digital receivers; maximum likelihood signal-to-noise ratio estimators; performance analysis; probability density functions; slowly fading channels; AWGN channels; Additive white noise; Error analysis; Fading; Maximum likelihood estimation; Performance analysis; Probability density function; Signal processing; Signal to noise ratio; Wireless communication;
Conference_Titel :
Communications, Computers and signal Processing, 2005. PACRIM. 2005 IEEE Pacific Rim Conference on
Print_ISBN :
0-7803-9195-0
DOI :
10.1109/PACRIM.2005.1517305
