Laser communication system distortion wavefront prediction method based on LSTM network
A technology of laser communication and distorted wavefront, which is applied in neural learning methods, biological neural network models, neural architectures, etc., can solve the problems of laser communication system energy decline, limit the correction performance of AO technology, and increase the bit error rate. Energy concentration and communication ability, simple structure, effect of reducing bit error rate
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[0022] In order to make the technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific implementation examples and with reference to the accompanying drawings.
[0023] figure 1 It is the specific steps of the laser communication system distortion wavefront prediction method based on the LSTM network:
[0024] Step S1: According to the theory of atmospheric freezing, using the characteristics of the wavefront distortion in the laser communication system as a continuous change sequence in time, the phase covariance function is used to simulate in MATLAB to generate a dynamic phase screen that conforms to the statistical distribution of atmospheric turbulence, and the simulation obtains the transverse wind The actual distorted wavefront data in the laser communication system;
[0025] Step S2: Utilize the outstanding long-term and short-term memory capabilities of the LSTM net...
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