Mobile Positioning Correction Using Distance-Weighted Node Calibration
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Solution Overview
Problem
Existing positioning methods for mobile devices 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 nodes, with weights assigned based on proximity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional positioning methods are used, then the positioning process is simple, but the positioning accuracy is poor due to environmental influences and obstacles
Solution Approach 1:
The system performs preliminary calibration by determining correction factors for multiple nodes before actual positioning. These correction factors are stored and reused during positioning operations, avoiding repeated complex calculations and reducing real-time computational complexity while maintaining high accuracy
Solution Approach 2:
Correction factors are introduced as intermediary elements between the raw positioning measurements and the final position calculation. These factors mediate the impact of environmental influences by compensating for systematic errors in signal propagation, thereby improving accuracy without requiring complex real-time environmental modeling
2Measurement precision
If correction factors from multiple nodes are applied equally, then the calculation is simple, but the accuracy is reduced because distant nodes have less reliable correction factors
Solution Approach 1:
The system applies different weights to correction factors from different nodes based on their local characteristics, specifically their distance from the mobile device. Nodes closer to the mobile device receive higher weights as their correction factors are more reliable, while distant nodes receive lower weights. This localized quality adjustment optimizes accuracy without requiring equally complex processing for all nodes
Solution Approach 2:
The weight parameter of correction factors is dynamically changed based on the distance between nodes and the mobile device. This parameter adjustment allows the system to adaptively prioritize more reliable correction factors while maintaining a computationally efficient weighted averaging process
Data Source
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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.