A weighed combinational interval prediction method of INS calibrating parameter repeatability

In order to use and evaluate the performances of stored Platform Inertial Navigation Systems (PINS), the repeatability of each PINS´s calibrating parameter interval should be predicted at current or in future time points. Taking into account that the calibrating parameter repeatability of every PINS has different parameter distribution characteristics and the repeatability of Batch PINS in the same storage life stage shares the same distribution characteristics, a prediction of interval associating weighted combination based on Bootstrap method is suggested, and the upper and lower bound of 1σ prediction intervals are given as well. Applying the method to the interval prediction of the repeatability of calibrating, especially on accelerometer bias, we verified that it not only makes good effects on short-range prediction, but also has proper application value of performance evaluation on repeatability of PINS in accordance with the length of the predictive range.