Title :
An envelop-based SNR estimation algorithm for QAM signals
Author :
Zuo, ZhenYong ; Liu, Kai
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
Abstract :
A novel signal-to-noise ratio (SNR) estimation algorithm for QAM signals in the additive Gaussian white noise channel (AWGN) is presented. Considering the real and imaginary components (I/Q) of QAM signals respectively, a new SNR estimator based on signal envelop is derived. The performance of our estimator is analyzed and compared with the other estimation methods. The simulation results show that the proposed algorithm can achieve higher estimation precision and lower computation complexity even the true SNR is negative.
Keywords :
AWGN channels; channel estimation; quadrature amplitude modulation; AWGN channel; QAM signal estimation; SNR estimation algorithm; additive Gaussian white noise channel; quadrature amplitude modulation; AWGN; Constellation diagram; Multiaccess communication; Performance analysis; Phase estimation; Quadrature amplitude modulation; Signal analysis; Signal to noise ratio; State estimation; Statistics; QAM signals; SNR estimation; signal envelop;
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
DOI :
10.1109/ICIEA.2009.5138931
