BPSK SNR estimation algorithms for HiperLAN/2 transceiver in AWGN channel

Abstract

Signal-to-noise ratio (SNR) is a crucial parameter in receiving systems to improve their performance. In this paper, two SNR estimators, the squared signal-to-noise variance estimator and the iterative SNR estimator, originally proposed for single carrier systems, are properly modified and applied to an OFDM transceiver complying with the physical layer of HiperLAN/2. We compare their performance in additive white Gaussian noise (AWGN) channel. Simulations showed that for both algorithms SNR estimation accuracy can be accomplished in low SNR values. The impact of the channel estimation method used to improve signal's reception, on the SNR estimation accuracy is examined. Finally the number of iterations that is needed for the second algorithm to converge to the actual SNR is estimated from simulations