In complex electromagnetic environments, the challenge of signal sorting task for multi-function radars (MFRs) with various work modes has arisen. The previous methods are prone to cause the so-called “increasing batch” problem, which means that the work modes of one MFR may be sorted into multiple emitters. In this letter, a MFR signal sorting method based on complex network is proposed to tackle the problem mentioned above. The novel method utilizes limited penetrable visibility graph to construct the network from interleaved radar pulse sequences, then employs label propagation algorithm and density peak clustering to detect community structures, thus fulfilling deinterleaving of pulses from several MFRs. Simulation results show that the proposed method is effective to alleviate the “increasing batch” problem, and is also robust under non-ideal conditions.

中文翻译：

---

基于复杂网络的多功能雷达信号排序

在复杂的电磁环境中，各种工作模式的多功能雷达（MFR）的信号分选任务面临挑战。以前的方法容易出现所谓的“增批”问题，这意味着一个MFR的工作模式可能会被分类到多个发射器中。在这封信中，提出了一种基于复杂网络的MFR信号排序方法来解决上述问题。该新方法利用有限的可穿透可见性图从交错的雷达脉冲序列构建网络，然后采用标签传播算法和密度峰值聚类来检测社区结构，从而实现来自多个 MFR 的脉冲的解交错。仿真结果表明，所提出的方法能有效缓解“增加批量”问题，