| CHEN Dan,GUO Lin-yuan,WANG Chen-hao,KE Xi-zheng.Blind equalization and automatic modulation classification based on subspace for subcarrier MPSK optical communications[J].Optoelectronics Letters,2017,13(4):304-308 |
| Blind equalization and automatic modulation classification based on subspace for subcarrier MPSK optical communications |
| Author Name | Affiliation | | CHEN Dan | School of Automation & Information, Xi’an University of Technology, Xi’an 710048, China | | GUO Lin-yuan | Xi’an Polytechnic University, Xi’an 710048, China | | WANG Chen-hao | School of Automation & Information, Xi’an University of Technology, Xi’an 710048, China | | KE Xi-zheng | School of Automation & Information, Xi’an University of Technology, Xi’an 710048, China |
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| Abstract: |
| Equalization can compensate channel distortion caused by channel multipath effects, and effectively improve convergent of modulation constellation diagram in optical wireless system. In this paper, the subspace blind equalization algorithm is used to preprocess M-ary phase shift keying (MPSK) subcarrier modulation signal in receiver. Mountain clustering is adopted to get the clustering centers of MPSK modulation constellation diagram, and the modulation order is automatically identified through the k-nearest neighbor (KNN) classifier. The experiment has been done under four different weather conditions. Experimental results show that the convergent of constellation diagram is improved effectively after using the subspace blind equalization algorithm, which means that the accuracy of modulation recognition is increased. The correct recognition rate of 16PSK can be up to 85% in any kind of weather condition which is mentioned in paper. Meanwhile, the correct recognition rate is the highest in cloudy and the lowest in heavy rain condition. This work has been supported by the National Natural Science Foundation of China (No.61671375), and the Industrial Research of Science and Technology Plan of Shaanxi Province (No.2016GY-082). E-mail:chdh@xaut.edu.cn |
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