Error model analysis of inertial sensors using Monte Carlo method

The Monte Carlo method is used to evaluate the influence of error modeling parameters of inertial sensors, and an RTLinux-based error model analysis simulator is developed. The parameters of a complex model are chosen and sampled by Latin hypercube sampling with variance reduction techniques, with the aim to analyze the contribution of each parameter to the accuracy of strapdown inertial navigation system (SINS). After that, a few simpler models were presented. The implementation of this model shows an improvement of the accuracy of SINS. The method was used in navigation system testing platform.