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Cooperative navigation of unmanned aerial vehicle swarm based on cooperative dilution of precision

机译:基于合作稀释精度的无人空中车辆群的合作导航

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Aiming at the formation problem in the cooperative navigation of unmanned aerial vehicle swarm, a cooperative position error analysis method based on cooperative dilution of precision is studied in this article. During cooperative flight, the unmanned aerial vehicle swarm can use the received position and ranging information of the adjacent unmanned aerial vehicles to calculate the position, and fuse with its own sensor position information. The final positioning accuracy depends not only on the capability of the ranging sensor but also on the position accuracy and formation of the adjacent unmanned aerial vehicles. In this article, these influence factors are combined to put forward a cooperative dilution of precision calculation method suitable for unmanned aerial vehicle swarm cooperative navigation. On this basis, a cooperative integrated navigation method based on ranging information is designed. Finally, the performance of cooperative navigation of unmanned aerial vehicles in different formations is simulated and analyzed. The simulation result shows that the cooperative dilution of precision method proposed in this article can effectively analyze the influence of formation on the positioning accuracy of unmanned aerial vehicle swarm, and the final combined positioning result is consistent with the cooperative dilution of precision analysis result.
机译:针对无人机航空公司群合作导航的形成问题,本文研究了基于合作稀释的合作误差分析方法。在合作飞行期间,无人驾驶飞行器群可以使用相邻的无人驾驶车辆的接收位置和测距信息来计算位置,并用自己的传感器位置信息进行熔断器。最终定位精度不仅取决于测距传感器的能力,还取决于相邻无人驾驶车辆的位置精度和形成。在本文中,这些影响因素被组合以提出适用于无人空中车辆群合作导航的精密计算方法的协同稀释。在此基础上,设计了一种基于测距信息的协同综合导航方法。最后,模拟并分析了不同地层中无人航空车辆的协同导航的性能。模拟结果表明,本文提出的精密方法的协作稀释可以有效地分析形成对无人空中车辆群的定位精度的影响,并且最终的组合定位结果与精密分析结果的协同稀释一致。

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