Method of Multi-source Testing Information Fusion for Inertial Navigation System Based on Bayesian Network
Hong Cai · Journal of Astronautics · 2008
This paper presents a method of multi-source testing information fusion for inertial navigation system based on Bayesian network,which might provide a new idea to the precision evaluation work.Firstly the testing information of all sorts is interrelated to each other by circumstance-conversion-factor,and then a graphic mapping model is constructed to represent the relationship of all variables by using Bayesian network.With testing information,the post statistical characteristics of variables such as circumstance-conversion-factor can be rapidly inferred by MCMC algorithm applied in Bayesian network,and consequently information conversion of inertial navigation system error model could be carried out between different testing condition.Also considering the samall-sample characteristics of testing data,two different information conversion methods are discussed in this paper.Simulation results of information fusion between ground calibration testing and vehicle-loaded testing show the effectivity of the scheme.