Ground simulation experiment of fine tracking for spatial optical communication

Abstract

A simple demonstration system for fine tracking is put forward,and the component is presented in detail.The centroid algorithm is the traditional method for beacon,and it has a systematic error and a random one.So it is obligatory to adopt the pixel subtraction.With the PID-like neural network algorithm,the weights of neural network and the parameters could be adjusted to reduce beacon vibration by the function of self-learning and adaptability in real time.The experimental results show the pixel subtraction improves the precision of centroid algorithm,and the PID-like neural network algorithm is robust.The fine tracking system can track 50 Hz beacon vibration with CCD of 400 Hz,and the range of beacon vibration reduces 25.7%,which is beneficial for the system to apply.