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Multi-UAVs Cooperative Localization Algorithms with Communication Constraints

机译:具有通信约束的多无人机协同定位算法

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Communication is the basis of multi-UAVs cooperative localization. There will be some communication delay and packet loss when one UAV communicates with others, and these communication restrictions may have negative influences on multi-UAV cooperative localization. In this paper, the communication among UAVs is described as Bernoulli random variables, and two kinds of cooperative localization algorithms are proposed. One is centralized algorithm, where a kind of one-step prediction strategy is designed. The other is distributed algorithm, where a kind of prediction-compensation strategy is proposed and weighted expectation state estimation method is designed. Simulation results show the effectiveness of the proposed algorithms.
机译:通信是多无人机协同合作的基础。当一架无人机与其他无人机进行通信时,会出现一些通信延迟和数据包丢失,这些通信限制可能会对多UAV协同定位产生负面影响。本文将无人机之间的通信描述为伯努利随机变量,并提出了两种协同定位算法。一种是集中式算法,其中设计了一种单步预测策略。另一种是分布式算法,提出了一种预测补偿策略,并设计了加权期望状态估计方法。仿真结果表明了所提算法的有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第8期|1943539.1-1943539.8|共8页
  • 作者单位

    Northwestern Polytech Univ, Sch Elect & Informat, Xian 710129, Shaanxi, Peoples R China;

    Shenyang Aircraft Design & Res Inst, Shenyang 110035, Liaoning, Peoples R China;

    Northwestern Polytech Univ, Sch Elect & Informat, Xian 710129, Shaanxi, Peoples R China;

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