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    一种基于地理位置信息的无人机集群自适应中继传输策略

    An Adaptive Relay Transmission Strategy for UAV Cluster Based on Geographic Location Information

    • 摘要: 为解决无人机集群信道状态信息迅速变化造成的信道状态信息估计和反馈开销过大,以及频繁切换中继带来过多的能量损耗等问题,提出一种基于地理位置信息的自适应中继传输策略。通过变维卡尔曼滤波算法,预测无人机位置,根据节点间距离关系,自适应地选择最佳中继进行协同传输,在保证系统传输性能的同时,减少了中继切换次数。仿真结果表明,该策略比随机中继策略和最优中继策略的中继切换次数降低30%以上,有效减少了切换中继带来的能量损耗。

       

      Abstract: In order to solve the problems of excessive CSI estimation and feedback overhead caused by the rapid change of channel state information of UAV system and excessive energy loss caused by frequent switching relay, an adaptive relay transmission strategy based on geographic location information is proposed. It predicts the location of the UAV through the variable dimension Kalman filter algorithm, and selects the optimal relay adaptively for cooperative transmission according to the distance between nodes. It ensures the transmission performance of the system while reducing the number of relay switching. The simulation results show that the number of relay switching is reduced by more than 30% compared with that of the random relay strategy and the optimal relay strategy, and the energy loss caused by switching relay is effectively reduced.

       

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