一种基于稀疏重构与多维融合的航迹自动关联印证方法、介质及装置
By employing an automatic trajectory association and verification method based on sparse reconstruction and multi-dimensional fusion, the problem of target identification in massive electromagnetic data has been solved, achieving efficient and accurate target identification and activity information acquisition.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SOUTHWEST CHINA RES INST OF ELECTRONICS EQUIP
- Filing Date
- 2023-11-20
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to accurately correlate the trajectory data of moving targets when processing massive amounts of electromagnetic data, leading to difficulties in target identification that are time-consuming and labor-intensive. In particular, when data samples are scarce, the accuracy of manual judgment is low.
An automatic trajectory association and verification method based on sparse reconstruction and multi-dimensional fusion is adopted. The position of trajectory data is reconstructed by linear interpolation, and the correlation and matching degree between electronic countermeasure intelligence and trajectory data is calculated by combining multi-dimensional fusion similarity measurement, thereby improving the identification accuracy.
It improves the accuracy of target identification, reduces human intervention, and enhances the efficiency and accuracy of data analysis, enabling a better grasp of the activity information of electromagnetic targets.
Smart Images
Figure CN117590349B_ABST