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.

CN122110082APending Publication Date: 2026-05-29PEKING UNIV SHENZHEN GRADUATE SCHOOL
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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

Technical Problem

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.

Method used

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.

Benefits of technology

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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Abstract

The application discloses a low-altitude slow and small target continuous tracking method based on cross-base station data association, which comprises the following steps: S1, multi-source base station sensing deployment; S2, target original data acquisition; S3, cross-base station data preprocessing; S4, cross-base station data association matching; S5, target tracking state estimation; S6, tracking continuity guarantee; and S7, tracking result output and feedback. The method is characterized in that: a distribution network is constructed by arranging multiple heterogeneous sensing base stations, multi-dimensional original data is synchronously collected, after time synchronization, coordinate conversion and adaptive filtering preprocessing, a multi-feature fusion association algorithm is used to realize cross-base station target unique matching, state estimation is completed in combination with an adaptive Kalman filter, tracking continuity is guaranteed through LSTM trajectory prediction and a priority handover mechanism, and finally, the output result is output and base station parameters are dynamically adjusted. The application solves the problems of tracking interruption, low association precision and weak anti-interference in the prior art.
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