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UAV formation visual navigation algorithm based on determination sampling type filter

机译:基于确定采样类型滤波器的无人机编队视觉导航算法

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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,对无人机编队飞行相对导航的研究更加深入。传统的相对导航主要采用GPS和INS相结合的方式,但容易受到干扰,且精度较低,因此对视觉和INS组合导航的研究已成为热点。为了解决基于视觉编队导航系统的导航参数估计问题,进行了采用确定采样型滤波器完成导航参数估计的研究。首先,根据地层的运动方程,地层的质点方程,处于机翼坐标的视觉测量方程,建立了适合于确定采样型滤波器的系统状态方程和测量方程,然后修正了非局部效应。通过正交变换的方法。仿真结果表明该方法可以满足本文的要求。

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