主动干扰辅助下的无人机隐蔽通信功率与位置联合优化

Joint optimization of power and position of UAV covert communication assisted by active jamming

利用友好干扰节点发送人工噪声是无线隐蔽通信中一种常见实现方法,可以增加监听者做出判断的不确定性,从而实现隐蔽传输。为此,考虑在无人机隐蔽通信网络中,部署一个空中的友好干扰节点,发射人工噪声干扰地面监听者的检测。对无人机与地面用户之间实现无线隐蔽传输进行了研究,分析了其有效隐蔽性能,联合优化了2架无人机的发送功率和位置部署以最大化隐蔽传输速率,使用粒子群优化算法与功率位置交替迭代算法2种优化方法得到最优的无人机部署位置及功率分配方案。仿真结果表明,联合优化方案相比于固定位置只优化功率的基准方案可以显著地提高系统隐蔽传输性能,且交替迭代算法所得结果要优于粒子群优化算法。

Using friendly jamming nodes and transmitting artificial noise has been a common method in covert communication,which can increase the uncertainty of the warden􀆳s judg-ment.This paper considered adding a friendly jamming node in the unmanned aerial vehicle(UAV)communication network and transmit artificial noise to interfere with the detection of ground monitors.The realization of wireless covert transmission between UAVs and ground users was studied,and its effective covert performance was analyzed.The transmission power and location deployment of two UAV were jointly optimized to maximize the covert transmis-sion rate.Two optimization methods,particle swarm optimization(PSO)algorithm and power position alternate iteration algorithm,were used to obtain the optimal deployment location and power allocation scheme for UAV.Simulation results have shown that the joint optimization scheme could significantly improve the covert transmission performance of the system compared to the fixed position power with only optimization benchmark scheme,and the results obtained by the alternating iteration algorithm are superior to those by the particle swarm optimization algorithm.