Free space laser communication based on airborne platforms will play a important role on the future space
communications, high precision tracking system for airborne laser communication has been already the one of the best
difficult problem. Because of diversity of maneuvering forms and high nonlinear problem, it is usual to adopt multiple
models algorithm with a fixed structure for tracking system, which brings unnecessary inter-competition among the
amount of models and calculation burden, in order to resolve this contradiction, a variable structure multiple-model
(VSMM)based on digraph switching is presented, the particle filter (PF) can deal with nonlinear/non-Guassian
problems, it can be introduced into VSMM framework. Simulation results show that the algorithm improves the
accuracy of tracking by reducing the competition of the models as well as reducing the computation burden.
Free space optical communication systems have been used not only in the space communication link but also in
the terrestrial long-distance network, because channel transmission medium of communication is atmosphere,
atmospheric pressure and temperature vary randomly, which cause fluctuation of arrival angle, APT (Acquisition、
Pointing and Tracking) technology makes the communication terminals aim each other accurately, fine tracking is the
core component of APT system. In order to assure success of the communication link, the fine tracking system requires
tracking accuracy of sub-micro radian to mitigate the effect of arrival angle for communication beam. In the paper, the
construction and working principle of fine tracking system based on FPGA are introduced and analyzed, a novel adaptive
fuzzy network algorithm is introduced, the weights of PID parameters can be adjusted on real time. In the terrestrial
16km free space optical data link, efficiency of fiber coupling is enhanced obviously, the tracking precision reaches submicro
radian level, the experiment is demonstrated successfully, and the experimental results show the system is robust.
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