A lightgbm equalization system and method for improvement of imdd short-distance optical communication system
An optical communication system and equalization system technology, applied in the field of optical communication, can solve problems such as long running time, limited application, high complexity, etc., and achieve the effects of easy training, good scalability, and easy convergence
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Embodiment 1
[0055] The first embodiment provides an improved Lightgbm equalization system for the IMDD short-distance optical communication system, such as Figure 1-3 As shown, it includes: an optical transmitting module 11, an optical receiving module 12, a gradient descent tree equalization module 13, and a data output module 14;
[0056] The optical transmitting module 11 sends the high-speed optical signal containing the data set to the optical receiving module 12 through an optical fiber; the optical receiving module 12 converts the received optical signal into an electrical signal corresponding to the optical signal, and the optical receiving module 12 performs a The signal is sampled to obtain the eigenvector of the training sequence and valid data, and the eigenvector of the obtained training sequence and valid data is input to the gradient descent tree equalization module 13; the gradient descent tree equalization module 13 will receive the training sequence and the effective dat...
Embodiment 2
[0124] A kind of Lightgbm equalization method that is used for IMDD short-distance optical communication system improvement, comprises steps:
[0125] S1. The optical transmitting module sends the high-speed optical signal containing the data set to the optical receiving module;
[0126] S2. The optical receiving module converts the received optical signal into an electrical signal corresponding to the optical signal, and the optical receiving module samples the electrical signal to obtain a training sequence and a feature vector of valid data, and The obtained training sequence and the eigenvector of the valid data are input into the gradient descent tree equalization module;
[0127] S3. The gradient descent tree equalization module obtains the predicted value of the data sample through the learner through the received training sequence and the data sample of the eigenvector of the effective data, and obtains the information data after equalization; the information after the...
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