Maximum likelihood SNR estimators for 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

637

Lastpage

640

Abstract

The problem of estimating signal-to-noise ratio (SNR) is investigated, both for static and slowly fading channels without memory. Maximum likelihood SNR estimators are derived for sampled signal processing receivers as well as continuous time signal processing receivers. It is shown that a maximum likelihood SNR estimator operating with digitally modulated signals is a decision-based structure that necessarily incorporates a digital data receiver. Based on this observation, structures of the estimators for two measures of SNR are presented.

Keywords

AWGN channels; fading channels; maximum likelihood estimation; radio receivers; signal processing; AWGN channels; continuous time signal processing receivers; decision-based structure; digital receivers; fading channels; maximum likelihood SNR estimators; sampled signal processing receivers; signal-to-noise ratio; AWGN; Additive white noise; Fading; Gaussian noise; Maximum likelihood estimation; Phase estimation; Phase shift keying; Pulse modulation; Signal processing; Signal to noise ratio;

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.2005.1517370

Filename

1517370