Research on MIMU error modeling based on ridge regression radial basis function neuron network

It is one of the main methods to improve the performance of Strap-down Inertial Navigation System for compensating the random drift and bias of MEMS (Micro Electro Mechanical systems) IMU (Inertial Measurement Unit). In order to eliminate latent multicollinearity of radial basis function neuron network output layer and model the drift and bias of MIMU accurately, the radial basis function neuron network based on ridge regression method was proposed which was applied in modeling and compensating MIMU errors. The simulation shows, compared to the AR model, the precision of compensation of MIMU error using radial basis function neuron network based on ridge regression method is equal to the fourth order AR model, better than first order AR model, and no data stabilization processing.