3D Signal Quality Mapping for Real-Time Drone Route Planning
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Solution Overview
Problem
Existing UTM systems lack the capability to generate and continuously update high-quality 3D signal quality maps for drone operations, which are crucial for safe and efficient drone routing and communication stability.
Innovation Solution
A method and apparatus utilizing a UTM system to initialize, collect, estimate, and update 3D signal quality maps by determining quality map parameters through mean square error analysis and iterative interpolation, enabling real-time visualization of signal quality for drone operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a 3D signal quality map is generated and continuously updated in real-time, then the accuracy and reliability of signal quality information is improved, but the computational complexity and processing time increase
Solution Approach 1:
The patent divides the 3D signal quality map into multiple lower-resolution proxy maps at different levels of detail. Instead of processing a single high-resolution map, the system segments the map representation into coarse and fine levels, allowing real-time updates while maintaining accuracy. The detailed map is generated from multiple simplified proxy maps, reducing computational complexity while preserving reliability.
Solution Approach 2:
The patent pre-computes and stores proxy maps at different resolutions before generating the final detailed 3D signal quality map. This preliminary action allows the system to use preprocessed data during real-time operations, reducing the computational burden of generating high-accuracy maps from scratch while maintaining map accuracy for route planning.
2Speed
If the signal quality map is updated in real-time to reflect current signal conditions, then the responsiveness to signal changes is improved, but the computational resources and processing time required increase
Solution Approach 1:
The patent segments the map update process into multiple levels of resolution. Instead of updating the entire high-resolution map simultaneously, the system updates proxy maps at different resolutions independently. This segmentation allows real-time responsiveness by updating only the necessary portions at appropriate detail levels, reducing overall computational resource consumption while maintaining speed.
Solution Approach 2:
The patent applies partial updates to the signal quality map by updating only the portions that have changed or are most relevant to current drone operations, rather than updating the entire map. This partial action approach maintains responsiveness to signal changes while significantly reducing the computational resources required compared to full map updates.
3Measurement precision
If the 3D signal quality map provides detailed signal quality information for precise route planning, then the route planning accuracy is improved, but the complexity of processing and interpreting the map data increases
Solution Approach 1:
The patent segments the detailed 3D signal quality map into multiple proxy maps at different resolutions. This allows the system to provide precise measurement details when needed while using simplified representations for general processing and interpretation. The segmentation reduces the complexity of handling detailed data by providing tiered levels of information that can be processed according to the specific task requirements.
Solution Approach 2:
The patent applies different levels of detail to different regions of the map based on their importance for route planning. High-detail proxy maps are generated for critical areas where precise signal quality information is needed, while simplified representations are used for less critical regions. This local quality approach improves measurement precision where required while reducing overall processing complexity by avoiding unnecessary detail in less important areas.
Data Source
AI summary
The disclosure relates to a method and an apparatus for generating a 3D signal quality map. According to an aspect of the disclosure, there is provided a method for generating a 3D signal quality map, performed by a computing device including at least one processor, the method including: initializing a signal quality map; collecting signal quality values from a plurality of points; estimating a map quality state using the collected signal quality values; determining a quality map parameter based on the estimated map quality state; and updating the signal quality map using the quality map parameter.