Online Calibration of POS Error Based on Double Strapdown Algorithm

In order to improve the performance of position and orientation system(POS),a new online calibration method is proposed based on the typical uniform rectilinear motion of POS.First,an online calibration scheme based on double strapdown algorithm is designed,and the simplified system error model is introduced.Then the system error state transfer matrix is derived under medium term navigation conditions.Subsequently,online calibration of system error parameters is carried out according to the neighborhood uniform rectilinear motion navigation error of POS,and through the observability analysis of system error states,the corresponding relationship between POS motion and online calibration precision is established.Vehicle test and flight test results show that the new online calibration method proposed in this paper can effectively improve system accuracy during the normal remote sensing task of POS.