A spaceborne radar distributed networking fusion group target tracking method

By using a global temporal grid and bidirectional frame mapping, along with a four-segment sequential association process, and combining moment matching pre-aggregation and group management mechanisms, the problems of single cross-sensor association discrimination information and insufficient structural coordination in distributed multi-sensor trajectory association are solved, thereby improving the accuracy and precision of trajectory association for high-speed, densely clustered targets.

CN123046876APending Publication Date: 2026-11-06NORTHWESTERN POLYTECHNICAL UNIV
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Patent Information

Application Number
CN202611125556.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-07-28
Publication Date
2026-11-06

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Abstract

The application discloses a kind of spaceborne radar distributed networking fusion group target tracking method, for multi-source asynchronous observation, cross-sensor association discriminant information single and group target structure under different sensor view angle inconsistency leads to redundant track initiation problem, constructs four sequential fusion association processes, realizes fusion layer and sensor layer structure cooperation by separable strong association, intergroup strong association, ungroup association and support association, and adopts matrix matching pre-aggregation to carry out multi-view information weighted fusion;At the same time, introduce cross-sensor track initiation and spatial distance deduplication mechanism, combined with ungroup association verification and out-of-contact second determination, execute fusion layer group management and track termination.The application effectively eliminates cross-sensor redundant track initiation, improves the cross-sensor association fusion precision and track management robustness of high-speed dense group target under multi-star networking condition.
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