System error registration based on Metropolis-Hastings sampling

In order to resolve system error registration in target tracking system which has inadequacy maneuvering model, a novel system error registration method based on Metropolis-Hastings sampling is proposed. This method gains an equivalent probability density distribution function derived from system error maximum likelihood estimation and regards it as a probability density function suitable for Metropolis-Hastings sampling. Besides, using different proposal functions to improve sample overall capacity in system error space. Two scenes which include time-vaying and time-unvarying system errors are simulated. Simulation results show that this method not only considers the statistical characteristics of system errors but also resolves the registration of system errors.