无人机群通信对抗中的认知干扰波形设计

Waveform design of cognitive jamming waveform in intelligent communication confrontation of unmanned aerial vehicle swarm

摘要:

针对无人机群通信对抗中敌方通信信号生成干扰波形的自适应问题，提出了一种基于频谱调制频谱编码(SMSE)模型进行认知干扰波形设计的方法。通过对SMSE框架中6种不同的波形设计参数进行部署，将具有特定频谱结构的波形在频域生成相应功能的认知干扰波形，来应对通信对抗中不同参数下的通信信号。仿真实验表明，该理论模型能够产生单音干扰、多音干扰、宽带干扰、瞄准式窄带干扰等多种压制式干扰波形，并能够对BPSK,QPSK,8PSK,16QAM等调制信号实现调制欺骗式干扰。通过与理论曲线对比，实验结果验证了SMSE模型产生认知干扰波形的理论可行性，这意味着SMSE模型可以实现对通信信号的压制性干扰和欺骗式干扰的一体化应用。

Abstract:

In order to solve the adaptive problem of generating jamming waveforms in response to enemy communication signals in Unmanned Aerial Vehicle(UAV) swarm communication confrontation, a cognitive jamming waveform design method is proposed based on Spectrally Modulated Spectrally Encoded(SMSE) model. By deploying six kinds of different waveform design parameters in the SMSE framework, the waveforms with a specific spectrum structure are synthesized in the frequency domain to generate cognitive jamming waveforms with corresponding functions to deal with communication signals under different parameters in communication countermeasures. Simulation experiments show that the theoretical model can generate the suppressive jamming waveforms: single-tone jamming, multi-tone jamming, wideband interference, and narrowband interference. It can also achieve modulation deceptive jamming for the modulation methods of BPSK, QPSK, 8PSK, and 16QAM signals. Compared with the theoretical curve, the experimental results verify the theoretical feasibility of SMSE model to generate cognitive interference waveform. SMSE model can realize the integration of suppressive jamming and spoofing jamming.