With the frequent occurrence of drone black flying in large stadiums and airports, the requirement of precise electromagnetic interference to achieve unmanned aerial vehicle (UAV) displacement and forced landing in these protected area became urgent. Since traditional suppression jamming will affect normal communication, and forwarding deceptive jamming has coverage hole, a smart forwarding deceptive jamming distribution optimal algorithm (SFDJDO) is proposed. It gives a mapping error scale factor and the optimal distribution of multistation forwarding equivalent mapping to solve the problem of distortion on the mapping scale caused by different distribution methods and reduces the influence of the mapping errors and the differences between the virtual and real point neighborhoods of the jamming source. A comparison of the proposed SFDJDO method to the existing jamming source distribution optimisation method is conducted in the aspect of area mapping and trajectory mapping. The findings reveal that when the GNSS receiver clock bias is within the capture range, SFDJDO demonstrates significant enhancements in mapping precision and jamming success rates.

中文翻译：

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智能转发欺骗干扰分布优化算法

随着大型体育场馆、机场等无人机黑飞事件频发，精准电磁干扰实现无人机在这些保护区内位移、迫降的需求变得迫切。针对传统抑制干扰会影响正常通信，且转发欺骗性干扰存在覆盖盲区的问题，提出一种智能转发欺骗性干扰分布优化算法（SFDJDO）。给出了映射误差尺度因子和多站转发等效映射的最优分布，解决了分布方式不同造成的映射尺度失真问题，减少了映射误差和虚实点邻域差异的影响。干扰源。在区域映射和轨迹映射方面对所提出的SFDJDO方法与现有的干扰源分布优化方法进行了比较。研究结果表明，当 GNSS 接收器时钟偏差在捕获范围内时，SFDJDO 在测绘精度和干扰成功率方面表现出显着增强。