Excluding Mobile Radio Nodes for Accurate Positioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing positioning technologies face inaccuracies due to unsuitable data from mobile radio nodes, which are not effectively identified and excluded, leading to degraded radio-based positioning performance.
Innovation Solution
A method to detect mobile radio nodes by determining if they are moving at a high speed and in the same direction as a computing device, allowing for their exclusion from positioning data to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If crowdsourced radio data is used to generate or update radio maps, then the radio map coverage and data availability are improved, but positioning accuracy deteriorates due to inclusion of data from mobile radio nodes
Solution Approach 1:
The patent extracts and removes data from mobile radio nodes from the crowdsourced radio data before generating or updating radio maps. This is achieved by detecting mobile nodes through their characteristic movement patterns and excluding their data, thereby maintaining radio map coverage while eliminating the source of positioning errors.
Solution Approach 2:
The patent implements a feedback mechanism where positioning errors are analyzed to identify patterns indicative of mobile radio nodes. This feedback loop continuously improves the detection and exclusion of mobile node data, enhancing positioning accuracy while preserving useful crowdsourced data.
2Difficulty of detecting and measuring
If machine learning techniques are used to identify mobile radio nodes, then node detection capability is improved, but computational complexity and error susceptibility increase
Solution Approach 1:
The patent employs simple, computationally inexpensive metrics such as signal strength variations over time and connection duration to identify mobile radio nodes. These lightweight detection methods replace complex machine learning models, reducing computational complexity while maintaining effective mobile node detection.
3Duration of action of stationary object
If radio maps are updated frequently with new crowdsourced data, then radio map currentness is improved, but positioning performance deteriorates due to inclusion of mobile node data
Solution Approach 1:
The patent applies mobile node detection and data exclusion procedures before radio map updates are performed. By preliminarily identifying and removing mobile node data from the crowdsourced dataset, the system ensures that only stationary node data is incorporated into updated radio maps, maintaining both currentness and reliability.
Data Source
AI summary
Disclosed is an approach for improving performance of a radio-based positioning system by detecting and excluding mobile radio nodes. The disclosed approach involves processors (e.g., of positioning server(s) and/or of a computing device) making a determination (i) that a speed of a computing device is at or above a threshold speed, and (ii) that at least one condition is met, the at least one condition indicating that a radio node is moving substantially along with the computing device. In response to making the determination, the processors may deem the radio node to be a mobile node. Given this, the processors may in turn exclude the radio node for positioning purposes, which may ultimately improve performance of the radio-based positioning system.