Stochastic Characteristic Simulation Method of Inertial Devices Based on Allan Variance Matching

To realize the selection and accuracy simulation deduction of inertial devices in rotational inertial navigation systems, a simulation method of stochastic characteristics of inertial devices based on Allan variance matching was proposed. To enhance the global matching performance of the Allan variance curve, a parameter optimization scheme based on improved genetic algorithm and an adaptive variable weight evaluation method is employed. Finally, compared with the data generated by the optimal parameters of the traditional empirical stochastic model, the root-mean-square error of the Allan variance curve of the data generated by proposed method and the Allan variance curve of the actual device data are increased from 0.0101 to 0.0018, while the correlation coefficient is increased from 0.91 to 0.9905. The Monte Carlo simulation analysis and the comparison of the measured data demonstrate the feasibility of the method for the evolution of navigation performance and device selection of the rotational inertial navigation system.