A method of quadrature amplitude modulation signals identification at low signal-to-noise ratios
| Autor: | Boyang Feng, Yun Lin, Qingbo Ji |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Quadrature modulation
Analog transmission business.industry Acoustics Pattern recognition Carrierless amplitude phase modulation Delta-sigma modulation Delta modulation Pulse-amplitude modulation Artificial intelligence business Pulse-density modulation Quadrature amplitude modulation Computer Science::Information Theory Mathematics |
| Zdroj: | Proceedings of 2014 3rd Asia-Pacific Conference on Antennas and Propagation. |
| Popis: | Quadrature Amplitude Modulation (M-QAM) was developed to rapidly and automatically identify the modulation levels of digitally modulated signals at low signal-to-noise ratios (SNR). The method uses wavelet transforms with the optimal scale combining with manifold learning method to identify the modulation levels of the M-QAM signals. Simulation results show that when the SNR is not lower than - 22 dB, the percentage of correct identification of M-QAM is higher than 90%. The results show that the method can rapidly acquire good performance at low SNR. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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