Abstract
For the airborne pod strapdown inertial navigation system, it is necessary to use the host aircraft's inertial navigation system for the transfer alignment as quickly and accurately as possible in the flight process of the aircraft. The purpose of this paper is to propose an adaptive transfer alignment method based on the observability analysis for the strapdown inertial navigation system, which is able to meet the practical need of maintaining the navigation accuracy of the airborne pod. The observability of each state variable is obtained by observability analysis of system state variables. According to the weight of the observability, a transfer alignment filter algorithm based on adaptive adjustment factor is constructed to reduce the influence of weak observability state variables on the whole filter, which can improve the estimation accuracy of transfer alignment. Simulations and experiment tests of the airborne pod and the master strapdown inertial navigation systems show that the adaptive transfer alignment method based on the observability analysis can overcome the shortage of the weak observability state variables, so as to improve the alignment and the navigation performance in practical applications, thus improving the adaptability of the airborne pod.
Highlights
For the airborne pod strapdown inertial navigation system, it is necessary to use the host aircraft’s inertial navigation system for the transfer alignment as quickly and accurately as possible in the flight process of the aircraft
There are a large number of adaptive Kalman filtering methods, such as Adaptive Extended Kalman Filter (AEKF)[15], variational Bayesian based AKF (VAKF)[16] and so o n17–19
In this paper, according to the observability analysis method of system model, an adaptive transfer alignment method based on the observability analysis for airborne pod strapdown inertial navigation system has been proposed
Summary
For the airborne pod strapdown inertial navigation system, it is necessary to use the host aircraft’s inertial navigation system for the transfer alignment as quickly and accurately as possible in the flight process of the aircraft. Simulations and experiment tests of the airborne pod and the master strapdown inertial navigation systems show that the adaptive transfer alignment method based on the observability analysis can overcome the shortage of the weak observability state variables, so as to improve the alignment and the navigation performance in practical applications, improving the adaptability of the airborne pod. For the airborne pod strapdown inertial navigation system, because of its wide range of applications, it is necessary to use the host aircraft’s inertial navigation system for the transfer alignment as quickly and accurately as possible in the flight process of the aircraft, so as to reduce the search range of the target and improve the acquisition e fficiency[2,3]. The general transfer alignment methods may be no longer applicable due to these reasons
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