The invention relates to an airborne distributed POS
transfer alignment method based on H infinity and CKF (Capacity Kalman Filtering)
hybrid filtering. The method comprises the following steps: first, incorporating a deflection deformation error into measurement
noise, determining a speed match measurement equation and an attitude match measurement equation, and primarily establishing a
transfer alignment model of a
system; designing
nonlinear filtering, namely a CKF
algorithm with high precision based on Kalman filtering; finally, achieving the purposes of weakening and eliminating the deflection deformation and a dynamic lever arm by utilizing good robust adaptive ability of H infinity filtering, designing an H infinity filtering
algorithm, combining an H infinity filtering module and the CKF filtering, and designing a new H infinity and CKF
hybrid filtering
algorithm so as to estimate more accurate position, speed and attitude information of a slave
inertial navigation system to complete
transfer alignment. According to the airborne distributed POS transfer alignment method based on the H infinity and CKF
hybrid filtering, the problem that the position, speed and attitude information of the slave
inertial navigation system cannot be estimated accurately under the situation that the deflection deformation is difficult to model is solved, so that the airborne distributed POS transfer alignment method based on the H infinity and CKF hybrid filtering has the characteristics of high precision and strong anti-interference capacity.