Mobile Tag Association Using TDOA Tracking and Threshold Crossing
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Solution Overview
Problem
Current methods for determining location information between mobile devices and stationary anchors are inefficient, particularly in environments with varying layouts like warehouses, where accurate tracking and collision avoidance are essential but existing technologies struggle to provide precise location data in complex geometries.
Innovation Solution
The use of Time Difference of Arrival (TDOA) and Two-Way Time of Arrival (TW-TOA) measurement techniques by mobile tags to calculate their location relative to multiple stationary anchors, employing hyperbolic curves and triangulation methods, along with scheduling to avoid signal interference, allows for precise location determination and tracking within demarcated areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional location tracking methods are used in complex environments like warehouses, then the system is simple to implement, but the location precision deteriorates due to complex geometries and signal interference
Solution Approach 1:
The system segments the location determination process into multiple independent measurement phases: TDOA measurement between mobile tags and anchors, signal propagation time measurement, and hyperbolic curve calculation. Each phase handles a specific aspect of location determination, improving overall precision while maintaining manageable complexity through modular processing
Solution Approach 2:
Stationary anchors serve as intermediaries between mobile tags and the central system. The anchors receive signals from mobile tags, perform TDOA measurements, and relay processed location data to the central system, thereby improving location precision in complex environments without requiring direct complex interactions between all mobile devices
2Productivity
If multiple mobile tags communicate simultaneously with anchors, then the system is efficient and responsive, but signal interference increases causing measurement errors
Solution Approach 1:
The system implements periodic time-slot based communication where mobile tags and anchors transmit signals in scheduled intervals rather than continuously. This periodic structure allows the system to maintain high productivity through regular updates while ensuring measurement reliability by preventing signal collisions through time-division multiplexing
Solution Approach 2:
The central system preliminarily schedules communication slots and signal transmission times before actual location measurements occur. This preliminary scheduling organizes the communication sequence to avoid interference, ensuring that multiple mobile tags can communicate efficiently without causing measurement errors
3Measurement precision
If TDOA and TW-TOA measurement techniques are implemented for precise location tracking, then location accuracy improves, but the energy consumption increases due to frequent signal exchanges
Solution Approach 1:
The system performs TDOA and TW-TOA measurements only when necessary for location tracking rather than continuously. Mobile tags engage in signal exchanges with anchors selectively based on movement detection and location update requirements, thereby maintaining high location accuracy while reducing energy consumption by avoiding excessive measurements
Solution Approach 2:
Mobile tags autonomously determine when location updates are needed based on their movement state and operational requirements. The tags self-manage their signal transmission with anchors, initiating measurements only when location accuracy is required, which reduces unnecessary energy consumption while maintaining measurement precision when needed
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables accurate and efficient tracking of mobile devices in diverse environments, enhancing collision avoidance and management by providing precise location data and trajectory analysis, improving operational efficiency in areas like warehouses and retail spaces.
Implementation Method 1
The use of Time Difference of Arrival (TDOA) and Two-Way Time of Arrival (TW-TOA) measurement techniques by mobile tags to calculate their location relative to multiple stationary anchors
Implementation Method 2
The use of Time Difference of Arrival (TDOA) and Two-Way Time of Arrival (TW-TOA) measurement techniques by mobile tags to calculate their location relative to multiple stationary anchors
Implementation Method 3
employing hyperbolic curves and triangulation methods, along with scheduling to avoid signal interference, allows for precise location determination and tracking within demarcated areas
Data Source
AI summary
Aspects of the subject disclosure may include, for example, obtaining a location of a first mobile tag, responsive to detecting a second mobile tag crossing a threshold relative to the location of the first mobile tag, determining according to an activity associated with the first mobile tag, the second mobile tag, or both whether there is an association event between the first mobile tag and the second mobile tag, and responsive to determining the activity corresponds to the association event, determining whether to associate the first mobile tag and the second mobile tag. Other embodiments are disclosed.