Exploring UAV's multi-domain joint anti-jamming intelligent decision algorithm

无人机多域联合抗干扰智能决策算法研究

¹ College of Information and Navigation, Air Force Engineering University, Xi'an 710077, China
² Key Laboratory of Aerospace Information Applications, China Electronics Technology Group, Shijiazhuang 050081, China

Received: 29 July 2020

Abstract

To understand the complex communication environment of a UAV in battlefield, its unknown channel statistics information and poor intelligent jamming and anti-jamming capability, the multi-domain anti-jamming problem is studied, and a multi-domain joint anti-jamming intelligent decision algorithm is proposed. First, the channel selection method is adopted to deal with jamming in the frequency domain. A multi-arm slot machine's channel selection model is established, and the channel interference level is judged. Secondly, the moderate interference channel is suppressed in the power domain, and the model of its Stackelberg game is established. The game equalization is solved to obtain the best transmission power and reduce the overhead caused by channel switching. The simulation results show that the long-term rewards of the intelligent decision algorithm are significantly higher than those of the traditional multi-arm slot machine's algorithm and the random selection algorithm and that the average throughput of the communication system of the UAV is improved, thus proving the superiority of the intelligent decision algorithm.

摘要

针对无人机在战场上通信环境恶劣、信道统计信息未知及抗智能性干扰能力差等问题，研究了多域抗干扰问题，提出一种多域联合抗干扰智能决策算法。在频域上采取信道选择的方式应对干扰，将其建模成一个多臂老虎机信道选择问题，并对信道干扰等级进行评判；对于中度干扰的信道进行功率域上的压制性对抗，将其建模成Stackelberg博弈模型，并求解博弈均衡，得出最佳发射功率，减少频繁切换信道带来的系统开销。仿真结果表明所提算法的系统长期回报明显高于传统多臂老虎机算法和随机选择算法，并且还提高了通信系统的平均吞吐量。