Multi-source heterogeneous sensor space-time alignment method based on kinematics bidirectional compensation

By employing kinematic bidirectional compensation and robust filtering, the problem of insufficient accuracy caused by non-integer multiple sampling rates and hardware clock jitter in multi-source sensor fusion is solved, achieving high-precision time unification and data fusion, and adapting to highly stable output in dynamic scenarios.

CN121594865AInactive Publication Date: 2026-03-03THE 54TH RESEARCH INSTITUTE OF CHINA ELECTRONICS TECHNOLOGY GROUP CORPORATION
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Patent Information

Application Number
CN202610115386.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-28
Publication Date
2026-03-03
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing technologies for multi-source sensor fusion suffer from problems such as timing mismatch caused by non-integer multiple sampling rates, micro-level deviations caused by hardware clock jitter, and insufficient accuracy of traditional interpolation methods in dynamic scenarios. In particular, it is difficult to achieve efficient time unification and data fusion in high-precision positioning and navigation.

Method used

By employing a kinematic bidirectional compensation-based approach, a dynamic weight allocation and time deviation closed-loop correction mechanism is constructed through data optimization, hardware-level alignment, bidirectional kinematic modeling, and robust filtering, thereby achieving high-precision spatiotemporal alignment of multi-source sensors.

Benefits of technology

It improves time synchronization accuracy, reduces position error, and enhances the accuracy and stability of multi-source data fusion. In particular, it significantly reduces position estimation bias and system divergence probability in harsh environments.

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Abstract

The invention belongs to the field of multi-source data time unification and fusion filtering systems, and relates to a multi-source heterogeneous sensor space-time alignment method based on kinematics bidirectional compensation. According to the method, traditional interpolation limitation is broken through a kinematics bidirectional compensation mechanism, and dynamic weight distribution and robust filtering time deviation closed-loop correction are combined. When satellite data arrives, forward and backward bidirectional calculation is carried out through inertial navigation, so that lag of pure interpolation is avoided, inertial navigation drift can be inhibited through filtering, the influence of abnormal values is weakened, and a high-precision space-time reference can be provided for the fields of automatic driving, unmanned aerial vehicle navigation and the like.
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Citation Information

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