A method for estimating relative attitude angular rate of a spatial non-cooperative target based on iterative fourier transform
By using the iterative Fourier transform method and the periodic variation pattern of point cloud data measured by lidar, the relative attitude angular rate information of non-cooperative targets in space is extracted. This solves the problems of computational complexity and insufficient accuracy in existing technologies and achieves efficient attitude angular rate estimation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INNOVATION ACAD FOR MICROSATELLITES OF CAS
- Filing Date
- 2024-02-28
- Publication Date
- 2026-07-24
AI Technical Summary
Existing technologies are computationally complex and computationally intensive when estimating the relative attitude angular rate of non-cooperative targets in space, making it difficult to achieve high-precision estimation.
The iterative Fourier transform method is adopted, which utilizes the periodic variation law of point cloud data measured by lidar to convert time domain information into frequency domain information through Fourier transform, and extracts relative attitude angular rate information through iterative optimization.
It achieves high-precision estimation of the relative attitude angular rate of non-cooperative targets in space, simplifies the calculation process, reduces accumulated errors, and is applicable to targets with constant or small fluctuations in rotational angular velocity.
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