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UAV formation visual navigation algorithm based on determination sampling type filter

机译:基于确定采样型过滤器的UAV形成视觉导航算法

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In recent years, the research on the relative navigation of UAV formation flying goes a bit deeper. The traditional relative navigation mainly adopts the combination of GPS and INS, but it is easy to be interfered and has low accuracy, so the research on the visual and INS integrated navigation is becoming hot spot. In order to solve the navigation parameter estimation problem which is based on visual formation navigation system, the research on adopting determination sampling type filter to completing the estimation of navigation parameters is carried out. Firstly, according to motion equation of formation, massive point equation of formation, visual measurement equation which is in the wingman coordinate, this paper establishes system state equation and measurement equation which is fitted to determination sampling type filter, then modifies the non-local effect through the method of orthogonal transformation. The simulation results show that the method can meet the requirements of this paper.
机译:近年来,对无人机形成飞行的相对导航的研究有点深入。传统的相对导航主要采用GPS和INS的组合,但易于干扰并且精度低,因此对视觉和综合导航的研究变得热点。为了解决基于视觉形成导航系统的导航参数估计问题,执行了采用确定采样型过滤器的研究完成了完成导航参数估计的研究。首先,根据形成的运动方程,形成的大规模方程,在Wingman坐标中的视觉测量方程,本文建立了系统状态方程和测量方程,该测量方程被装配到确定采样型过滤器,然后修改非局部效果通过正交变换方法。仿真结果表明,该方法可以满足本文的要求。

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