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Research on Distributed Positioning Algorithm of Swarm Robots Based on UWB Ranging

机译:基于UWB测距的群体机器人分布式定位算法研究

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Traditional swarm robots mainly rely on a single GPS for positioning. Complex environment or the failure of the GPS receiver may cause some robots cannot be located because their GPS signals lose, so cooperative positioning of swarm robots is required. Due to the heavy information transmission task of the centralized algorithm, the positioning accuracy will decrease, and the robustness of the entire network will be reduced. Therefore, A distributed collaborative positioning algorithm based on UWB ranging is proposed. In the case of GPS loss of some robots, it uses centroid coordinates to represent the position relationship between known nodes and unknown nodes based on the GPS observation information of other robots and UWB ranging information between neighboring robots and performs distributed iterative estimation of the position of each robot, achieves the position of swarm robots. Compared with centralized algorithms, the positioning accuracy of the system is improved. The convergence of the algorithm is proved and the simulations show that compared with the traditional MDS algorithm, the proposed algorithm improves the positioning accuracy by 13.31%.
机译:传统的群体机器人主要依靠单个GPS进行定位。复杂的环境或GPS接收器的故障可能会导致某些机器人无法定位,因为它们的GPS信号丢失,因此需要对群体机器人进行协同定位。由于集中算法的繁重的信息传输任务,定位精度将降低,并且整个网络的鲁棒性将降低。因此,提出了一种基于UWB测距的分布式协同定位算法。在某些机器人发生GPS丢失的情况下,它使用质心坐标表示其他节点的GPS观测信息和相邻机器人之间的UWB测距信息,从而表示已知节点和未知节点之间的位置关系,并对节点的位置进行分布式迭代估计。每个机器人,都达到了群体机器人的位置。与集中式算法相比,提高了系统的定位精度。证明了算法的收敛性,仿真结果表明,与传统的MDS算法相比,该算法提高了定位精度13.31%。

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