Affiliations: College of Information Engineering and Art Design, Zhejiang University of Water Resources and Electric Power, Hangzhou, Zhejiang, China
Correspondence:
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Corresponding author. Liru Han, College of Information Engineering and Art Design, Zhejiang University of Water Resources and Electric Power, Hangzhou, Zhejiang, 310018, China. E-mail: [email protected].
Abstract: Atmospheric scintillation brings additional noise to the detection system and reduces the receiving sensitivity of the system. It is urgent and necessary to introduce computer technology to improve the sensitivity of the system. Based on this, a computer simulation algorithm is proposed to simulate the atmospheric scintillation model in laser communication to analyze the sensitivity of the detection system. Taking Kalman filter estimation algorithm as the core of system state estimation, the problem of detection noise caused by atmospheric scintillation in laser communication is analyzed by means of computer simulation simulation algorithm. A Kalman filter estimation algorithm based on adaptive process-measurement model is proposed, and the computer simulation experiment of intensity scintillation caused by turbulence is carried out. The experimental results show that the error mean, covariance and root mean square error of the adaptive process model are the smallest. The second-order adaptive process model plays an important role in removing additional noise and improving system sensitivity, which meets our expectation of model order selection. The proposed method has good robustness, real-time and accuracy. Computer simulation algorithm is applied to the optimization of laser communication, which brings enlightenment to the optimization of laser communication technology and the application of computer intelligent algorithm.
