基于空间信息的射频隐身数据链最优能量控制算法

An Optimal Energy Control Algorithm for Radio Frequency Stealth Datalink Based on Spatial Information

为提高数据链的低被截获性能,提出了一种基于空间信息的射频隐身数据链最优能量控制算法。以数据链目标飞行区域的威胁因子为先验知识,基于数据链的实时空间信息,分析了影响数据链性能的各个参数,将辐射功率、开机时刻作为优化变量,以最小化辐射功率函数和最小化能量消耗函数作为目标,利用混合混沌粒子群优化算法对数据链通信模型进行优化,选取使两个目标函数最小的解作为最优解。仿真结果表明,算法与目前常见的数据链恒定功率辐射方法相比,在满足可靠通信的前提下,辐射功率较小,消耗能量较少,具有较好的射频隐身性能。

In order to increase the lower intereeption performance of the datalink, an optimal energy control algorithm based on the spatial information is proposed in this paper. Radiation power and starting time are selected as optimized variables, which are based on the threat factor of the target region and the real-time spatial information of the datalink. A mathematical model of multi-objective optimization is established to achieve minimum radiation power and energy cost. The hybrid chaotic particle swarm optimization （ HCPS0 ） is used for the optimization of the energy control, and the solution which minimizes the two target functions is selected as the optimization solution. Compared with the constant radiation power method, the simulation results show that the proposed algorithm consumes less energy and has better performance of RF stealth.