A low-altitude slow and small target continuous tracking method based on cross-base station data association
By using multi-source base station sensing and cross-base station data association, the problem of tracking interruption of low-altitude, slow, and small targets at the edge of base stations or across areas is solved, achieving high-precision and continuous target tracking, and adapting to flexible deployment in monitoring areas of different sizes.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- PEKING UNIV SHENZHEN GRADUATE SCHOOL
- Filing Date
- 2026-01-31
- Publication Date
- 2026-05-29
AI Technical Summary
In existing technologies, single base station detection coverage is limited, tracking continuity is poor, multi-base station data fusion capability is insufficient, target association accuracy is low, anti-interference capability is weak, and tracking handover mechanism is imperfect. As a result, low-altitude slow and small targets are prone to tracking interruption and target loss when they are at the edge of base station coverage or cross multiple base station areas.
A multi-source base station sensing deployment is adopted, and heterogeneous sensing base stations with multi-modal detection modules are configured. Cross-base station data preprocessing and association are performed through edge computing nodes. Combined with adaptive filtering algorithms and trajectory prediction models, cross-base station data association and target tracking status estimation are realized, and a cross-base station tracking handover mechanism is established to ensure continuous target tracking.
It achieves full-process, gap-free tracking of low-altitude, slow-moving, and small targets, with a target recognition accuracy of ≥95% and a trajectory deviation rate controlled within 0.3 meters. It solves the problems of tracking interruption and accuracy fluctuation in traditional technologies, supports the dynamic expansion of distributed sensing networks, and reduces operation and maintenance costs.
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Figure CN122110082A_ABST