Title :
Low-complexity time-domain SNR estimation for OFDM systems
Author :
Ijaz, A. ; Awoseyila, A.B. ; Evans, Barry G.
Author_Institution :
Centre for Commun. Syst. Res., Univ. of Surrey, Guildford, UK
Abstract :
A low-complexity signal-to-noise ratio (SNR) estimation algorithm for orthogonal frequency division multiplexing (OFDM) systems in frequency-selective fading channels is proposed. The estimator is based on a conventional preamble having two identical parts. It uses the correlation of the received signal samples to estimate signal power while noise power is estimated using the difference between received samples. Simulation results show that the proposed estimator is robust to the channel´s frequency selectivity and its attained accuracy and reduced complexity make it an attractive choice for current wireless OFDM systems.
Keywords :
OFDM modulation; channel estimation; fading channels; frequency selective surfaces; signal sampling; time-domain analysis; white noise; SNR estimation; frequency selective fading channels; orthogonal frequency division multiplexing; signal power estimation; signal sampling; signal-to-noise ratio; time-domain analysis; while noise power; wireless OFDM systems;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2011.2014
