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

fYear

2005

fDate

24-26 Aug. 2005

Firstpage

380

Lastpage

383

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computers and signal Processing, 2005. PACRIM. 2005 IEEE Pacific Rim Conference on

Print_ISBN

0-7803-9195-0

Type

conf

DOI

10.1109/PACRIM.2005.1517305

Filename

1517305