NDLI: Non-data-aided SNR estimation for QPSK modulation in AWGN channel

Content Provider	IEEE Xplore Digital Library
Author	Salman, T. Badawy, A. Elfouly, T.M. Khattab, T. Mohamed, A.
Copyright Year	2014
Description	Author affiliation: Electr. Eng. Dept., Qatar Univ., Doha, Qatar (Khattab, T.) \|\| DET, Politec. di Torino, Turin, Italy (Badawy, A.) \|\| Comput. Sci. & Eng. Dept., Qatar Univ., Doha, Qatar (Salman, T.; Elfouly, T.M.; Mohamed, A.)
Abstract	Signal-to-noise ratio (SNR) estimation is an important parameter that is required in any receiver or communication systems. It can be computed either by a pilot signal data-aided approach in which the transmitted signal would be known to the receiver, or without any knowledge of the transmitted signal, which is a non-data-aided (NDA) estimation approach. In this paper, a NDA SNR estimation algorithm for QPSK signal is proposed. The proposed algorithm modifies the existing Signal-to-Variation Ratio (SVR) SNR estimation algorithm in the aim to reduce its bias and mean square error in case of negative SNR values at low number of samples of it. We first present the existing SVR algorithm and then show the mathematical derivation of the new NDA algorithm. In addition, we compare our algorithm to two baselines estimation methods, namely the M2M4 and SVR algorithms, using different test cases. Those test cases include low SNR values, extremely high SNR values and low number of samples. Results showed that our algorithm had a better performance compared to second and fourth moment estimation (M2M4) and original SVR algorithms in terms of normalized mean square error (NMSE) and bias estimation while keeping almost the same complexity as the original algorithms.
Starting Page	611
Ending Page	616
File Size	279161
Page Count	6
File Format	PDF
ISBN	9781479950416
DOI	10.1109/WiMOB.2014.6962233
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-08
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Phase shift keying Signal-to-Noise Ration Estimation Fourth moment Estimation Receivers Mean Square Error Signal-to-Variation Ratio Estimation Complexity theory Signal to noise ratio
Content Type	Text
Resource Type	Article

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