Mobile Device Positioning Correction Using Distance-Weighted Node Feedback
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Solution Overview
Problem
Existing positioning methods and devices for mobile devices often suffer from inaccuracies due to varying environments and obstacles, leading to unreliable position determinations that can be unsatisfactory or dangerous.
Innovation Solution
A method that involves obtaining estimated positioning information of nodes, determining correction factors based on a comparison with known positioning information, and applying these factors to the mobile device's positioning information, considering the distance between the device and the nodes, to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If positioning information is obtained using signal transmission in varying environments, then positioning can be performed in diverse locations, but accuracy deteriorates due to environmental obstacles and signal interference
Solution Approach 1:
The system obtains predetermined positioning information from nodes with known positions, compares it with estimated positioning information, and uses the difference as correction factors to improve mobile device positioning accuracy. This feedback loop continuously refines positioning results by learning from environmental deviations.
Solution Approach 2:
The system dynamically adjusts positioning parameters by applying correction factors derived from comparing estimated and predetermined positioning information of nodes. These parameter changes compensate for environmental effects such as multipath propagation and signal interference, maintaining accuracy across varying conditions.
2Measurement precision
If correction factors are applied to all estimated positioning information, then accuracy improves, but computational complexity increases
Solution Approach 1:
The system applies correction factors locally by selecting and applying only the most relevant correction factors based on the mobile device's position and distance to nodes. This localized approach improves accuracy where needed while avoiding unnecessary computations for distant or less relevant nodes.
Solution Approach 2:
The system applies a subset of available correction factors rather than all possible corrections. By selecting correction factors from the nearest or most relevant nodes, the system achieves sufficient accuracy improvement without the full computational burden of processing all available correction data.
Data Source
AI summary
The present invention relates to a method for determining a position of a mobile device (5), the method comprising the steps:obtaining (201) estimated positioning information of at least one node (1, 2, 3, 7);determining (202) at least one positioning information correction factor for each of the at least one node (1, 2, 3, 7) based on a comparison of the estimated positioning information of the at least one node (1, 2, 3, 7) with respective predetermined positioning information of the at least one node (1, 2, 3, 7);obtaining (203) estimated positioning information of a mobile device (5);determining (204) adjusted positioning information of the mobile device (5) by applying at least one of the at least one positioning information correction factor to the estimated positioning information of the mobile device (5) based on a distance between the mobile device (5) and the at least one node (1, 2, 3, 7). The invention further relates to an apparatus (9), system (6), computer program product and computer-readable storage medium.