基于信息预处理的无人机集群协同电子侦察

为了提供长期有效的电子侦察能力,高机动性无人机电子侦察平台需要组成 1个多无人机电子侦察网络。多无人机电子侦察网络在面对复杂电子侦察任务时,需要具有对不同平台电子侦察结果判别和整合的能力。针对传统基于证据理论(DempsterShafer,DS)的协同电子侦察方法中,因为电磁环境的复杂性和基于 DS合成公式对不可靠信息缺少必要的筛除而导致的证据悖论问题,文章提出了基于电子侦察信息预处理的无人机集群协同电子侦察融合判决新方法。该方法对每架无人机的电子侦察信息进行预判断,得到每架无人机电子侦察信息的可信度权值,提出信息融合算法,对预处理后的电子侦察信息进行融合判决。仿真结果表明,该方法可以有效提升对多无人机电子侦察信息的甄别能力,提高无人机集群协同电子侦察性能。

Cooperative Electronic Reconnaissance of UAVs Network Based on Information Prepossessing

In order to provide long-term effective electronic reconnaissance capability, the high mobility UAV electronic reconnaissance platform needs to form a multi-UAV electronic reconnaissance network. In the case of complex electronic reconnaissance tasks, multi-UAV electronic reconnaissance network needs to have the ability to distinguish and integrate the electronic reconnaissance results of different platforms. In the traditional collaborative electronic reconnaissance meth-ods based on evidence theory, the complexity of electromagnetic environment and the lack of necessary screening of unre-liable information based on the synthesis formula lead to the problem of evidence paradox. Therefore, a new method of fu-sion judgment for UAV cluster collaborative electronic reconnaissance based on electronic reconnaissance information preprocessing is proposed. The method prejudges the electronic reconnaissance information of each UAV, and obtains the credibility weight of each UAV electronic reconnaissance information. The information fusion algorithm is proposed to perform fusion judgment on the pre- processed electronic reconnaissance information. Simulation results show that the proposed method can effectively improve the identification of multi-UAV electronic reconnaissance information and im-prove the performance of UAV cluster collaborative electronic reconnaissance.