Channel estimation method of visible optical communication system based on improved convolutional neural network
In order to improve the communication quality of visible optical communication sys-tem,reduce the number of error codes generated by signal damage,improve the accuracy of channel estimation,optimize the channel transmission effect of the system channel,the im-proved convolutional neural network is introduced,and the channel estimation method of visi-ble optical communication system based on improved convolutional neural network is studied.First,the channel model of visible optical communication system is established to obtain param-eters such as channel gain,LED limit bandwidth and mode of frequency domain response.Sec-ondly,the pilot structure of the pilot distribution and the pilot interval of the visible optical communication system is designed to accurately obtain the channel information of the transmit-ting end of the system.On this basis,the improved convolutional neural network is used to de-velop the channel estimation of the visible light communication system and solve the channel es-timation results.The experimental analysis results show that after the proposed channel estima-tion method,the channel estimation error rate does not fluctuate greatly,the highest does not exceed 0.5％,the channel transmission effect is good,the estimation accuracy and the commu-nication quality level of visible optical communication system are significantly improved.
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