一种基于复杂网络与Laplacian图谱聚类的雷达信号解交织方法、程序、设备及存储介质
By constructing complex networks and using Laplacian graph clustering, the problems of "additional batching" and "incorrect batching" in the deinterleaving of complex radar signals were solved, achieving high accuracy and robustness in radar signal separation.
CN119128568BActive Publication Date: 2026-07-17HARBIN ENG UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HARBIN ENG UNIV
- Filing Date
- 2024-09-06
- Publication Date
- 2026-07-17
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Figure CN119128568B_ABST
Abstract
本发明属于雷达信号解交织技术领域，具体涉及一种基于复杂网络与Laplacian图谱聚类的雷达信号解交织方法。本发明将雷达脉冲序列构造成复杂网络挖掘同一部雷达的脉冲参数空间关联关系，通过K近邻算法对复杂网络进行约简，强化来自同一部雷达脉冲之间的连接强度；通过确定拉普拉斯矩阵的特征值谱“突变”的位置确定聚类中心个数，有效避免了聚类中心数目的错误预测；借用图分割的思想，利用拉普拉斯谱分解实现雷达脉冲聚类。本发明不依赖于雷达数量先验信息，可以应用在有大量脉冲交叠的复杂电磁环境，提高了复杂电磁环境下雷达信号解交织的准确率，具有较高的鲁棒性。
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