Interactive Orbital Trajectory Prediction With Sensor And Model Selection
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Solution Overview
Problem
Existing trajectory prediction systems for objects orbiting primary bodies, such as satellites and space debris, lack flexibility and efficiency, and user interfaces are inadequate for timely and comprehensive understanding of predicted trajectories.
Innovation Solution
An interactive object trajectory prediction system that allows users to select sensor modules and tracking models via a graphical user interface, displaying the object's trajectory relative to primary bodies and their barycenter, providing comprehensive visual information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing trajectory prediction systems use fixed prediction models and algorithms, then the system structure is simple, but the system lacks flexibility and adaptability for different sensor modules and tracking scenarios
Solution Approach 1:
The system implements dynamic configurability by allowing users to select different sensor modules (EOIR, RADAR, quantum RADAR) and switching between multiple prediction models (two-body, three-body, circular restricted three-body) based on specific tracking scenarios. This dynamic adaptation resolves the contradiction by making the system flexible without requiring a completely different system structure for each scenario.
Solution Approach 2:
The prediction system is designed with multi-functionality to handle various sensor types and orbital scenarios through a unified architecture. The system can process data from different sensor modules and apply appropriate prediction models, achieving versatility while maintaining a single system structure that avoids excessive complexity.
2Loss of information
If existing systems provide limited visual information about trajectories, then the system is simple to operate, but users cannot comprehensively understand predicted trajectories in a timely manner
Solution Approach 1:
The system enhances visual information by displaying trajectories in multiple reference frames simultaneously - both the barycentric reference frame and the reference frame of the primary body being orbited. This multi-dimensional visualization approach provides comprehensive trajectory information without overwhelming the user with a single complex view.
Solution Approach 2:
The visualization interface is segmented into distinct components: barycentric reference frame display, primary body reference frame display, sensor module selection, and prediction model selection. This segmentation allows comprehensive information presentation while maintaining operational simplicity through organized, modular display elements.
3Measurement precision
If existing trajectory prediction systems use multiple sensor modules and prediction models, then the prediction accuracy and comprehensiveness improve, but the system becomes less efficient and harder to configure
Solution Approach 1:
The system provides pre-configured sensor module options and prediction model selections that users can choose from based on their specific needs. This preliminary preparation of configuration options allows users to quickly select appropriate settings without having to manually configure complex parameters, thereby maintaining high prediction accuracy while improving configuration efficiency.
Data Source
AI summary
An interactive orbital trajectory prediction system including a processor arranged to simultaneously display: i) a surface of the first primary body including the relative predicted trajectory of the object, ii) a surface of the second primary body including the relative predicted trajectory of the object, and iii) the barycenter of the two primary bodies, and the trajectory of the object with respect to the barycentric reference frame. The system includes an input device arranged to receive a user selection of a first sensor module of a plurality of sensor modules used to predict the trajectory of the object orbiting the primary body. The processor, in response to the user selection of the first sensor module, predicts the flight path of the object based on the first sensor module.