Inertial instrument error identification algorithm based on reverse navigation data

Accurate positioning and attitude information is very important for remote sensing, the key point of Virtual Test is researched in the paper to obtain accurate model of the actual system. In order to identify the actual inertial navigation system error model from flight data, a new identification method was proposed. Through the reverse process of strapdown inertial navigation, the ideal inertial instrument output data could be solved from navigation result. The error compensation system can be established, with ideal data input and the actual data of the inertial instrument output. Finally, the error model and error coefficient of inertial instrument were obtained with the system identification method. The test results show that the method is effective and has reference value and directing significance for engineering application.