Space Debris Detection Using Pulsed Laser and Ground Processing
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Solution Overview
Problem
Current technologies face challenges in effectively detecting, mapping, and managing small space debris in low Earth orbit due to limitations in tracking and collision probability estimation, particularly for debris not in existing datasets, which poses a safety risk to satellites and space missions.
Innovation Solution
A LIDAR-based method using a pulsed laser cone to detect and model objects in space, with data processing occurring at a terrestrial ground station rather than on the satellite, reducing power consumption and data transfer delays, and enabling rapid orbit determination and collision probability analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data processing is performed on the satellite, then detection accuracy is improved, but power consumption increases and data transfer delays occur
Solution Approach 1:
The patent extracts the data processing function from the satellite platform and relocates it to ground-based supercomputing facilities. The satellite only performs data acquisition and transmission, while all computationally intensive processing (point cloud generation, object detection, mapping) is performed on the ground, thereby eliminating the power consumption burden on the satellite while maintaining high detection accuracy.
Solution Approach 2:
The patent introduces a ground-based intermediary processing system that acts as a mediator between the satellite's raw data collection and the final detection results. This intermediary ground infrastructure handles all heavy computational tasks, allowing the satellite to remain lightweight and energy-efficient while still achieving sophisticated detection capabilities.
2Difficulty of detecting and measuring
If a permanently illuminated light sheet is used to detect debris, then detection capability is improved, but power resources are wasted
Solution Approach 1:
The patent replaces continuous illumination with periodic pulsed laser illumination. The laser emits short pulses at controlled intervals rather than maintaining continuous illumination, thereby detecting debris through reflected light while consuming minimal power during the pulse intervals. This periodic action maintains detection capability while dramatically reducing energy loss.
3Reliability
If bulky models or multiple satellites are used, then detection reliability is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses computational point cloud copying and rendering techniques to create virtual representations of space debris and their orbital paths. Instead of requiring multiple physical satellites or bulky detection models, the system generates detailed 3D point cloud models from limited sensor data, achieving high detection reliability through sophisticated data processing rather than hardware redundancy.
4Object-affected harmful factors
If tracking and mapping of small debris is performed, then collision risk is reduced, but data processing requirements increase
Solution Approach 1:
The patent performs preliminary action by pre-generating comprehensive point cloud models and orbital trajectory predictions for known debris objects before collision risk assessment is needed. This pre-processing creates ready-to-use spatial databases that can be quickly queried and updated, reducing the real-time data processing burden while maintaining accurate collision risk evaluation capabilities.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution provides accurate mapping and risk mitigation for small debris, reducing collision risks and maintaining low maintenance costs, while being compact enough for use on smaller satellites like CubeSats.
Implementation Method 1
transmitting a laser beam by an onboard mechanism in a satellite to detect at least one object in space
Data Source
AI summary
A method for detecting and modeling objects in space using LIDAR is disclosed. The method includes transmitting a laser beam to detect at least one object in space. Further, the method includes detecting one or more data related to at least one object. The detection is based upon the principle of reflection of the object in a vacuum. Further, said one or more data related to at least one object obtained from the detection unit is processed. Further, one or more information is determined from the processed data related to at least one object. The one or more information is mapped corresponding to the related at least one object. The method further comprises measuring one or more parameters associated with at least one of the mapped objects and modeling the measurement data related to at least one of the mapped objects.