Robust modulation formats recognition technique using wavelet transform for high speed optical networks
| Autor: | Abir Hraghi, Latifa Guesmi, Mourad Menif |
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| Rok vydání: | 2015 |
| Předmět: |
Discrete wavelet transform
Amplified spontaneous emission Lifting scheme Computer science business.industry Speech recognition Second-generation wavelet transform Stationary wavelet transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Cascade algorithm Pattern recognition Wavelet packet decomposition Signal-to-noise ratio Wavelet Artificial intelligence business Fast wavelet transform Continuous wavelet transform |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| Popis: | There is a need, for high speed optical communication networks, in the monitoring process, to determine the modulation format type of a received signal. In this paper, we present a new achievement of modulation format recognition technique, where we proposed the use of wavelet transform of the detected signal in conjunction with the artificial neural network (ANN) algorithm. Besides, wavelet transform is one of the most popular candidates of the time-frequency transformations, where the wavelets are generated from a basic wavelet function by dilations and translations. We proved that this technique is capable of recognizing the multi-carriers modulation scheme with high accuracy under different transmission impairments such as chromatic dispersion (CD), differential group delay (DGD) and accumulated amplified spontaneous emission (ASE) noise with different ranges. Both the theoretical analysis and the simulation results showed that the wavelet transform not only can be used for modulation identification of optical communication signals, but also has a better classification accuracies under appropriate OSNR (optical signal-to-noise ratio) values. |
| Databáze: | OpenAIRE |
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