Wei Wenhui, Gao Zhaohui, Gao Shesheng, Jia Ke
School of Automatics, Northwestern Polytechnical University, 710072 Xi'an, China.
School of Geological Engineering and Surveying and Mapping, Chang'an University, 710064 Xi'an, China.
Sensors (Basel). 2018 Apr 9;18(4):1145. doi: 10.3390/s18041145.
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.
为满足导航系统自主性和可靠性的要求,结合利用自然天体光谱红移信息测量速度的方法,设计了一种由捷联惯性导航系统(SINS)/光谱红移(SRS)/地磁导航系统(GNS)组成的新型自主组合导航系统方案。探讨了该SINS/SRS/GNS自主组合导航系统的原理,并建立了相应的数学模型。此外,针对该自主组合导航系统提出了一种鲁棒自适应中心差分粒子滤波算法。进行了仿真实验,结果表明所设计的SINS/SRS/GNS自主组合导航系统具有良好的自主性、较强的鲁棒性和较高的可靠性,从而为自主导航技术提供了一种新的解决方案。