一种星簇协同的空间目标搜索与定轨方法
By employing a cluster-based collaborative approach, and utilizing the coordinated work of satellite nodes with large and narrow fields of view, the problem of capturing and determining orbits for a single optical satellite under large spatial uncertainties was solved, achieving efficient space target capture and orbit determination.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANGHAI TAIYI MICRO-SPACE TECHNOLOGY CO LTD
- Filing Date
- 2026-04-28
- Publication Date
- 2026-07-17
AI Technical Summary
When facing targets with significant spatial uncertainty, a single optical satellite is limited by its physical performance, making it difficult to simultaneously perform large-scale searches and high-precision target locking. Furthermore, the lack of depth information results in a low probability of target acquisition, making it difficult for a single optical satellite to achieve space orbit determination.
Using a cluster-based collaborative approach, the ground computing center generates prior guidance data, the cluster schedules large field-of-view satellite nodes to perform sky search and dimensionality reduction, and the narrow field-of-view satellite nodes combine the prior distance error variance with the geocentric inertial coordinate system to perform benchmark alignment and state extrapolation, generating an extrapolated three-dimensional error ellipsoid. The state convergence is achieved using a cross-line-of-view network, ultimately realizing collaborative orbit determination.
It has achieved effective acquisition and high-precision orbit determination of space targets, overcoming the shortcomings of narrow field of view and lack of depth information of single optical satellites, and ensuring the accuracy of cluster cooperative search and orbit determination.
Smart Images
Figure CN122108169B_ABST