Abstract
In order to meet the requirements of autonomy and reliability for the navigation system, combined with the method of measuring speed by using the spectral redshift information of the natural celestial bodies, a new scheme, consisting of Strapdown Inertial Navigation System (SINS)/Spectral Redshift (SRS)/Geomagnetic Navigation System (GNS), is designed for autonomous integrated navigation systems. The principle of this SINS/SRS/GNS autonomous integrated navigation system is explored, and the corresponding mathematical model is established. Furthermore, a robust adaptive central difference particle filtering algorithm is proposed for this autonomous integrated navigation system. The simulation experiments are conducted and the results show that the designed SINS/SRS/GNS autonomous integrated navigation system possesses good autonomy, strong robustness and high reliability, thus providing a new solution for autonomous navigation technology.
Highlights
At present, navigation methods mainly include inertial navigation, surface radio navigation, celestial navigation and satellite navigation
Based on the principle of velocity measurement by using spectral redshift of celestial bodies in space, and combined with the advantages of Geomagnetic Navigation System (GNS), this paper proposes a new Strapdown inertial navigation system (SINS)/Spectral Redshift (SRS)/GNS autonomous integrated navigation system
The effect of abnormal disturbances on the unscented Kalman filtering (UKF) and particle filtering (PF) is more significant than robust adaptive central difference particle filtering algorithm (RACDPF), this is because UKF and PF cannot deal with abnormal interferences
Summary
Navigation methods mainly include inertial navigation, surface radio navigation, celestial navigation and satellite navigation. The spectral redshift of natural light sources contains the velocity information of the celestial body relative to the moving object [13] Based on this principle, spectral redshift navigation (SRS) becomes a forward-looking navigation method, with the advantages of simple principle, high navigation accuracy, strong autonomy and good real-time performance. Based on the principle of velocity measurement by using spectral redshift of celestial bodies in space, and combined with the advantages of Geomagnetic Navigation System (GNS), this paper proposes a new SINS/SRS/GNS autonomous integrated navigation system. The principle, scheme and mathematical model of this autonomous integrated navigation system are established, and a high-precision nonlinear filtering algorithm for the autonomous navigation system is proposed. All of the models and algorithms are verified by experiments
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