一种基于多源量子传感融合的异构无人系统协同定位方法
By employing a multi-source quantum sensing fusion method, the positioning accuracy and robustness issues of heterogeneous unmanned systems in satellite navigation denied environments were resolved, achieving high-precision collaborative positioning results.
Patent Information
- Application Number
- CN202610560370.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-27
- Publication Date
- 2026-07-17
AI Technical Summary
In satellite navigation denied environments, existing heterogeneous unmanned systems suffer from large long-term cumulative drift and are susceptible to electromagnetic interference, resulting in low cooperative positioning accuracy and poor robustness.
A multi-source quantum sensing fusion method is adopted. An absolute time synchronization benchmark is established by deploying CPT chip atomic clocks on UAV and unmanned vehicle nodes. Absolute attitude changes are measured by using NV color center quantum gyroscopes. A quantum entanglement distribution link is established for interferometric measurement. The error state Kalman filter algorithm is combined to perform multi-source information fusion estimation and output the absolute pose state.
It achieves high-precision and robust cooperative positioning of heterogeneous unmanned systems in satellite navigation denied environments, eliminates drift interference from traditional sensors, and provides picosecond-level timestamp alignment and nanometer-radian-level attitude perception accuracy.
Smart Images
Figure CN122408747A_ABST