State Parameter Adjustment Filtering Method of Airborne POS Based on Instantaneous Observable Degree Model

Abstract

The position and orientation system is integrated measurement equipment for the airborne remote sensing system, and the measurement precision plays a vital role in imaging compensation. Because of the observable degree of state variable changes in real time with movement, the existing filtering method with constant state parameters reduces the attitude precision. In order to solve the problem, a state parameter adjustment filtering method based on instantaneous observable degree model is proposed. An instantaneous observable degree model is established to analyze the impact mechanism of movement on observable degree. On the basis of the model, an observable adjustment factor is constructed to adjust the state parameter. Flight experiment is carried out, which verifies that the proposed method is effective in improving the attitude precision.