Position Estimation Engine Mode Selection for Mobile Devices
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Solution Overview
Problem
Current methods for determining the location of mobile devices are inefficient in selecting the appropriate position estimation mode based on available anchor pairs and environmental conditions, leading to inaccurate or unreliable location data.
Innovation Solution
A system that utilizes a position estimation engine to select among different position estimation modes by analyzing anchor identification, available anchor pairs, and other factors, employing techniques like TDOA and TW-TOA for precise location calculation, and switching between modes seamlessly as the device moves between areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single position estimation mode is used for all areas, then the system complexity is reduced, but the positioning accuracy deteriorates in different environmental conditions
Solution Approach 1:
The system dynamically selects position estimation modes based on real-time environmental conditions and device locations. The position estimation engine continuously evaluates available anchor pairs and signal characteristics to switch between estimation modes, making the system adaptive rather than static.
Solution Approach 2:
The system changes operational parameters by selecting different position estimation modes (e.g., changing which anchor pairs are used or which estimation algorithm is applied) based on environmental conditions, thereby optimizing positioning accuracy for different scenarios without increasing physical system complexity.
2Measurement precision
If multiple position estimation modes are implemented, then the positioning accuracy is improved, but the device complexity increases
Solution Approach 1:
The positioning system is segmented into multiple independent position estimation modes, each optimized for specific environmental conditions. The position estimation engine acts as a selector that chooses the appropriate segment (estimation mode) based on current conditions, managing complexity through modular organization.
Solution Approach 2:
The position estimation engine automatically selects the appropriate position estimation mode based on available anchor pairs and environmental conditions without external intervention. The system self-manages the complexity of multiple modes through automated selection logic.
3Adaptability or versatility
If the system switches between position estimation modes, then the adaptability to environmental conditions is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary evaluation of available anchor pairs and signal characteristics to pre-determine the optimal position estimation mode before actual position calculation. This advance preparation reduces processing time during the critical positioning moment.
Solution Approach 2:
The position estimation engine continuously monitors signal characteristics and anchor pair availability, using this feedback to dynamically adjust the selected position estimation mode. This closed-loop approach ensures optimal adaptability while minimizing processing delays through informed decision-making.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, selecting, according to selection information wirelessly transmitted from one or more anchors, a particular position estimation mode from among a group of position estimation modes that are each associated with a different radio measurement locating process. One or more radio measurements can be obtained from at least one of the one or more anchors and position information can be determined for the mobile device based on the one or more radio measurements by applying a particular radio measurement locating process of the particular position estimation mode. Other embodiments are disclosed.