Title :
Blind SNR Estimation of Gaussian-Distributed Signals in Nakagami Fading Channels
Author :
Hafez, Mohammed ; Khattab, Tamer ; Shalaby, Hossam M. H.
Author_Institution :
Dept. of Electr. Eng., Qatar Univ., Doha, Qatar
Abstract :
A blind (non-data-aided) SNR estimator using the statistical moments of the received signal is proposed. The proposed envelope-based non-data-aided estimator works for any time-domain Gaussian-distributed signal (e.g., OFDM signals). A closed-form expression for the estimated SNR as a function of the moments of the received signal and the Nakagami-m parameter, is derived. Interestingly, the obtained expression shows that the proposed estimator operation and performance is independent of the constellation of the received signal. Moreover, the existence of the closed-form expression results in lower implementation complexity. Furthermore, to enable theoretical performance analysis, a general mathematical expression is derived for the even moments of the received signal in terms of SNR and the Nakagami-m parameter. The performance of the proposed estimator is evaluated based on the mean-squared-error, under different conditions of the channel. An extension of our SNR estimation method into multiple antennas configurations is provided. Our results reveal that the proposed estimator works better in low SNR conditions, which is attractive to applications such as cognitive radio spectrum sharing scenarios.
Keywords :
Gaussian distribution; Nakagami channels; antenna arrays; mean square error methods; statistical analysis; time-domain analysis; Nakagami fading channel; envelope-based nondata-aided estimator; mean squared error method; multiple antenna configuration; received signal constellation; time-domain Gaussian-distributed signal blind SNR estimation; Channel estimation; Constellation diagram; Estimation; Fading; OFDM; Signal to noise ratio; Wireless communication; Gaussian-distributed signal; Low SNR estimation; Nakagami fading; Non-data-aided; Time-variant channel; non-data-aided; time-variant channel;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2015.2403325