Title :
SNR estimation for QAM signals using Fuzzy logic interface
Author :
Sastry, K. Seshadri ; Babu, M. S Prasad
Author_Institution :
Dept. of Comput. Sci. & Syst. Eng., Andhra Univ., Visakhapatnam, India
Abstract :
In this paper, we propose a non-data-aided (NDA) signal-noise ratio (SNR) estimation algorithm for quadrature amplitude modulation (QAM) signals in additive white Gauss noise (AWGN) channel using Fuzzy logic interface. The NDA SNR estimation algorithm for QAM signals is derived based on a statistical ratio of observables over a block of data. It was shown that SNR can be effectively calculated by implementing proposed estimation algorithm using Fuzzy logic.
Keywords :
AWGN channels; estimation theory; fuzzy logic; quadrature amplitude modulation; signal processing; user interfaces; AWGN channel; NDA SNR estimation algorithm; QAM signals; additive white Gauss noise channel; fuzzy logic interface; non-data-aided signal-noise ratio; quadrature amplitude modulation signals; Artificial neural networks; Computational modeling; Quadrature amplitude modulation; Signal to noise ratio; Fuzzy logic; QAM signals; SNR estimation;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5564920
