Dynamic Radio Localization Method Selection for Mobile Terminals
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Solution Overview
Problem
Existing radio-based localization methods face challenges in determining the position of terminal devices with varying accuracy due to the density of radio access points and signal interference, particularly in areas with limited coverage and high interference.
Innovation Solution
A method that dynamically activates or deactivates radio network-based localization based on the availability and quality of radio signals, using a combination of lateration and pattern recognition techniques, and selectively chooses the most accurate method based on signal strength and interference conditions, while also considering the number of accessible radio access points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radio network-based localization is used, then localization is possible inside buildings with high precision, but it requires a certain density of radio access points which is not available everywhere
Solution Approach 1:
The system dynamically switches between different localization methods (radio network-based, satellite-based, or a combination) based on the availability and quality of radio access points. When radio access points are dense and provide high precision, the system uses radio network-based localization. When radio access points are sparse or unavailable, the system transitions to satellite-based localization or hybrid methods, ensuring continuous operation across diverse environments.
2Measurement precision
If lateration method is used, then high accuracy is achieved, but attenuation and disturbances from obstacles cannot be taken into account leading to higher inaccuracy
Solution Approach 1:
The system acknowledges that signal attenuation and disturbances, which normally degrade localization accuracy, actually provide useful information about the environment. By incorporating these distortion measurements into the localization algorithm, the system can compensate for obstacles and achieve more accurate positioning even in challenging environments with signal interference.
3Measurement precision
If pattern recognition method is used, then localization accuracy increases with the number of radio access points, but the method requires receiving radio signals from multiple access points
Solution Approach 1:
The system applies pattern recognition methodology by analyzing signal patterns from radio access points, but it does so selectively based on availability. When multiple access points are available, the system uses pattern recognition to achieve high accuracy. When fewer access points are available, the system adjusts its approach to maintain functionality, avoiding unnecessary complexity while still providing the best possible localization service.
Data Source
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AI summary
The application relates to the field of localizing a mobile terminal (102) in which a selection is first of all made between satellite-based and radio-network-based localization and also between various radio-network-based localization methods. For the purpose of localizing mobile terminals, such as smartphones, notebook computers and other mobile communication terminals, a series of radio-based measurement methods are known which can be used to approximatively determine the position of a terminal using received radio signals. Given appropriate radio network coverage of the area which contains the terminal that is to be localized, radio-network-based methods have the advantage that the localization is also possible inside buildings. However, the radio-network-based localization requires a particular density of radio access points (101a-f), which is not provided everywhere. For radio-network-based localization, there are a plurality of methods available which, depending on the reception situation of the terminal, allow localization with various accuracies, particularly lateration or pattern recognition methods using a "Fingerprint". Against this background, it is a problem for the present application to be able to perform targeted selection of a suitable radio-network-based localization method when radio-network-based localization can be carried out. The problem is solved particularly by establishing whether radio-network-based localization is possible and by selecting the best localization method.