Title :
A comparison of SNR estimation techniques in the AWGN channel
Author :
Pauluzzi, David R. ; Beaulieu, Norman C.
Author_Institution :
MPR Teltech. Ltd., Burnaby, BC, Canada
Abstract :
We investigate the performance of various signal-to-noise power ratio (SNR) estimation techniques reported in the literature. The search for the best SNR estimator is undertaken by the software simulation of a baseband, binary PAM signal in an AWGN channel
Keywords :
Gaussian channels; binary sequences; digital simulation; estimation theory; pulse amplitude modulation; simulation; AWGN channel; SNR estimation techniques; baseband signal; binary PAM signal; performance; signal-to-noise power ratio; software simulation; AWGN channels; Additive white noise; Baseband; Digital communication; Gaussian noise; Performance evaluation; Power measurement; Power system modeling; Signal to noise ratio; Testing;
Conference_Titel :
Communications, Computers, and Signal Processing, 1995. Proceedings., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-2553-2
DOI :
10.1109/PACRIM.1995.519404
