Satellite Navigation Provider Selection Using Geolocation Neural Networks
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Solution Overview
Problem
Existing methods for selecting satellite navigation service providers are complex and inflexible, requiring large databases that incur high computational costs and are difficult to update when geopolitical changes occur.
Innovation Solution
A computer-implemented method using artificial neural networks to determine the authorization of satellite navigation service providers based on geographical position, allowing for simple and flexible selection without the need for a complex database, and enabling easy adaptation to changes in provider use restrictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a large database is used to cover the entire surface of the earth, then the coverage is complete, but the database size becomes very large and computational cost increases
Solution Approach 1:
The patent divides the geographical coverage into smaller regions by using multiple satellite constellations (GPS, GLONASS, Galileo, Beidou), each covering specific areas. This segmentation allows complete global coverage without requiring a single massive database, as each constellation maintains its own smaller position database.
Solution Approach 2:
The patent transitions from a two-dimensional geographical coverage problem to a multi-dimensional solution by incorporating multiple satellite constellations operating in different orbital planes and using different frequency bands. This dimensional expansion allows overlapping coverage areas to be managed separately, reducing the complexity of any single database.
2Adaptability or versatility
If the database is regenerated when provider selection changes, then the latest geopolitical restrictions are reflected, but the computational cost is very high
Solution Approach 1:
The patent implements a dynamic provider selection mechanism where the aircraft's navigation system automatically evaluates multiple satellite constellations and selects the most appropriate one based on real-time criteria such as signal quality, availability, and geopolitical restrictions. This dynamic approach allows the system to adapt to changes without regenerating the entire database, as the selection logic can be updated independently.
Solution Approach 2:
The patent pre-establishes selection criteria and provider authorization rules in the database before flight operations. These pre-defined rules include geopolitical restrictions and service availability information. During flight, the system simply applies these pre-computed rules to the current satellite signals, avoiding the need for real-time database regeneration when restrictions change.
3Reliability
If basic satellite constellations are used to meet IFR requirements, then safety and reliability requirements must be reinforced, but the system complexity increases
Solution Approach 1:
The patent merges multiple satellite constellation systems (GPS, GLONASS, Galileo, Beidou) into a unified navigation solution. By combining these constellations, the system achieves the required safety and reliability for IFR operations through redundancy and cross-validation, while managing complexity through a standardized selection framework that treats all constellations uniformly.
Solution Approach 2:
The patent implements a feedback mechanism where the aircraft's navigation system continuously monitors signal quality, satellite availability, and position accuracy from multiple constellations. Based on this feedback, the system automatically adjusts provider selection to maintain IFR compliance, reinforcing reliability without requiring complex manual intervention or system reconfiguration.
Data Source
AI summary
A method for selecting at least one satellite navigation service provider from a plurality of predetermined providers, the selection method being computer-implemented and comprising: a step for receiving a geographical position; a step of determining an indication relating to the authorization of use of at least one provider of the plurality of predetermined providers, the determining step being implemented by at least one artificial neural network (24) associated with said provider, an input variable of the artificial neural network (24) being the geographical position, an output variable of the artificial neural network (24) being said indication; a step for selecting at least one provider for satellite navigation of an aircraft.