Wang Qiong, Zheng Chen, Wu Peili, Wang Xiaoyu
China Electronics Technology Group Corp 20th Research Institute, Xi'an, 710068, China.
School of Mechanics, Civil engineering and Architecture, Northwestern Polytechnical University, Xi'an, Shaanxi Province, 710129, China.
Heliyon. 2022 Oct 31;8(11):e11249. doi: 10.1016/j.heliyon.2022.e11249. eCollection 2022 Nov.
The accuracy of an a priori geomagnetic reference map is a significant constraint on the geomagnetic matching navigation method. Especially when the aircraft enters an unknown environment, it is impossible to accomplish the navigation task using traditional geomagnetic navigation methods. Therefore, a geomagnetic/INS integrated matching navigation algorithm for long-scale navigation is proposed in this paper, which can perform navigation tasks regardless of whether there is an a priori geomagnetic map. This method combines a magnetogram-based matching navigation method with a geomagnetic bionic navigation method that does not require a geomagnetic map. The navigation trajectory is first analyzed in the area where the geomagnetic map is available, and the matching results are further corrected by filters for the inertial navigation system. Furthermore, when the aircraft flies through an unknown area without the a priori geomagnetic map, the nonmagnetic map navigation method is used to guide the aircraft to the destination. Finally, simulations are performed for the geomagnetic map distribution and noise effects that may occur during actual flight, and the obtained results show the effectiveness of the proposed algorithm in a complicated geomagnetic environment.
先验地磁场参考图的精度是对地磁匹配导航方法的一个重大限制。特别是当飞行器进入未知环境时，使用传统地磁导航方法无法完成导航任务。因此，本文提出了一种用于长距离导航的地磁/惯性导航系统（INS）组合匹配导航算法，无论是否存在先验地磁场图，该算法都能执行导航任务。此方法将基于磁图的匹配导航方法与无需地磁场图的地磁仿生导航方法相结合。首先在有地磁场图的区域分析导航轨迹，并通过惯性导航系统的滤波器对匹配结果进行进一步校正。此外，当飞行器飞越没有先验地磁场图的未知区域时，使用无磁图导航方法引导飞行器到达目的地。最后，针对实际飞行中可能出现的地磁场图分布和噪声影响进行了仿真，所得结果表明了所提算法在复杂地磁环境中的有效性。
