Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/WiMOB.2014.6962233 | Wireless and Mobile Computing, Networking and Communications |
Keywords | DocType | ISSN |
AWGN channels,estimation theory,mean square error methods,quadrature phase shift keying,AWGN channel,M2M4 method,NDA estimation,NMSE,QPSK modulation,SNR estimation,SVR algorithm,bias estimation,nondata-aided estimation approach,normalized mean square error,pilot signal data-aided approach,signal-to-noise ratio estimation,signal-to-variation ratio,Fourth moment,Mean Square Error,Signal-to-Noise Ration Estimation,Signal-to-Variation Ratio Estimation | Conference | 2160-4886 |
Citations | PageRank | References |
2 | 0.55 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Salman, T. | 1 | 2 | 0.55 |
| Badawy, A. | 2 | 2 | 0.55 |
| Elfouly, T.M. | 3 | 2 | 0.55 |
| Khattab, T. | 4 | 9 | 1.69 |