基于双重物理模型融合验证的船舶识别方法及系统
By employing a dual physical model fusion verification method, and utilizing frequency-wavenumber domain slow-speed scanning and AIS data to calculate apparent velocity, the problem of identifying ship noise and low-speed guided wave noise in seabed DAS signals was solved, achieving highly accurate and reliable ship identification.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- STATE GRID ZHEJIANG ELECTRIC POWER CO LTD ZHOUSHAN POWER SUPPLY CO
- Filing Date
- 2026-04-01
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to effectively distinguish between ship noise and low-speed guided wave noise from complex seabed DAS signals, resulting in insufficient accuracy and reliability in identification, and a lack of effective physical model verification methods.
A ship identification method based on a dual physical model is adopted. Low-speed guided wave noise is suppressed by slow scanning in the frequency-wavenumber domain. The apparent speed is calculated and predicted by combining AIS data. The consistency of apparent speed and arrival-distance fitting are verified to ensure the physical causal relationship of the identification results.
It significantly reduces the false alarm rate, improves the accuracy and reliability of identification, achieves effective separation of ship noise from environmental noise, and ensures high confidence of identification results and the system's automated processing capabilities.
Smart Images
Figure CN121955967B_ABST
Abstract
Citation Information
Patent Citations
CN120387552A
CN121686019A