Aircraft Position Tracking via SwiftBroadband Data Integration
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Solution Overview
Problem
Current aircraft tracking systems rely on public data sources and require human intervention, limiting their accuracy and global coverage, especially when integrating position reports from multiple sources.
Innovation Solution
A system using SwiftBroadband for automated aircraft position reporting, integrating data from various sources, including Inmarsat, government agencies, and onboard avionics, to provide real-time, accurate position tracking without human intervention, utilizing a satellite constellation and ground network for data processing and mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated tracking using SwiftBroadband is implemented, then human intervention is eliminated and tracking efficiency improves, but system complexity increases due to integration of multiple data sources
Solution Approach 1:
The system performs automated aircraft identification and tracking using SwiftBroadband data without human intervention. The processor automatically matches aircraft identifiers with subscription data, calculates positional information, and generates reports autonomously, eliminating the need for manual operations while maintaining high efficiency
Solution Approach 2:
The ground-based system integrates multiple data sources including SwiftBroadband satellite data, government aviation agency data, and third-party flight information into a single unified platform. This multi-functional approach consolidates various tracking methods into one comprehensive system that handles identification, positioning, and reporting
2Measurement precision
If multiple data sources are integrated for position reporting, then measurement precision of aircraft position improves, but device complexity increases due to data integration requirements
Solution Approach 1:
The system merges position data from SwiftBroadband satellite constellation with additional information from government aviation agencies and third-party sources. By combining these multiple data streams into a unified position report, the system achieves higher measurement precision while managing integration complexity through automated processing
Solution Approach 2:
The system continuously receives position data from multiple sources and uses feedback mechanisms to validate and refine position information. The processor compares data from different sources, resolves discrepancies, and generates accurate position reports by iteratively processing incoming data streams
3Loss of information
If real-time position reports are generated every two minutes, then position data freshness improves, but loss of time for data processing increases
Solution Approach 1:
The system generates position reports at regular two-minute intervals using periodic action. This scheduled reporting ensures position data remains fresh and current without requiring continuous processing, as the system efficiently processes data only at these predetermined intervals rather than continuously
Solution Approach 2:
The system performs preliminary matching of aircraft identifiers with subscription data as data arrives from SwiftBroadband. By pre-processing and organizing data in advance, the system minimizes processing time when generating the actual position reports at two-minute intervals, ensuring both freshness and efficiency
Data Source
AI summary
Methods, systems and devices for real position reports between an aircraft and a terrestrial network using SwiftBroadband and a set of calculation instructions which identifies the specific aircraft and calculates multiple variables including, but not limited to, Speed, Heading, Departure Airport, and Arrival Airport. Once all variables have been calculated the system tracks the aircraft status on a map for multiple platforms. The position tracking system generates position reports that can be integrated into combined mapping system of other source data to give the most accurate position data possible.