微小型无人机通信中继的动态频率选择算法优化

Optimize Dynamic Frequency Selection Algorithm for MUAV Communications Relay

针对微小型无人机通信中继的保密安全需求,以及在复杂电磁环境下,存在的节点频率适用度差异问题,对现有的动态频率选择(DFS)算法进行了优化,提出一种基于贝叶斯估计的周期型DFS算法。给出了算法处理过程,并进行了理论分析及仿真实验。仿真结果表明,在复杂电磁环境下,算法可以增强微小型无人机通信中继网络的抗干扰能力,提高系统吞吐量。

For the confidential security requirements of MUAV communications relay, and the difference of node＇ s frequency suitable degree in the complex electromagnetic environment, the existing Dynamic Frequency Selection （DFS） algorithm is optimized. A cyclical DFS algorithm based on Bayes estimation is introduced. The processing of the algorithms is given, as well as theoretical analysis and experiment are introduced. The results show that the algorithm can enhance the anti-jamming capability of the MUAV communications relay network and improve the system throughput in the complex electromagnetic environment.