Parametric SNR Estimation Based on Auto-Regressive Model in AWGN Channels |
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| Authors: | Dan-Ping Bai Qun Wan Xian-Sheng Guo Yan Wang |
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| Affiliation: | School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China |
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| Abstract: | Signal-to-noise ratio (SNR) estimation for signal which can be modeled by Auto-regressive (AR) process is studied in this paper. First, the conventional frequency domain method is introduced to estimate the SNR for the received signal in additive white Gauss noise (AWGN) channel. Then a parametric SNR estimation algorithm is proposed by taking advantage of the AR model information of the received signal. The simulation results show that the proposed parametric method has better performance than the conventional frequency domain method in case of AWGN channel. |
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| Keywords: | Auto-regressive model AWGN channel model information SNR (Signal-to-noise ratio) estimation |
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