Node Localization Using Time Difference of Flight Measurements
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Solution Overview
Problem
Distributed sensor networks face challenges in accurately localizing nodes without precise positioning, especially in low-cost and low-power consumption systems, as existing methods like GPS require high timing accuracy and synchronization.
Innovation Solution
The use of time difference of flight measurements between nodes with known locations to determine the location of unknown nodes, reducing the need for precise timing accuracy and synchronization, and employing a mesh network structure for efficient signal transmission and reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS or time of flight measurements with precise clock systems are used for localization, then localization accuracy is improved, but system cost and power consumption increase
Solution Approach 1:
The patent replaces expensive, power-intensive GPS receivers and precise clock systems with inexpensive, low-power microcontroller units that can be deployed throughout the structure. Each MU acts as a disposable, low-cost localization node that consumes minimal power while collectively providing accurate localization data through the networked TDOA system.
Solution Approach 2:
The patent introduces signal propagation time measurements as an intermediary mechanism. Instead of requiring direct GPS signals at each node, the system uses wireless signal transmission times between MUs as intermediaries to calculate positions. This intermediary approach allows accurate localization without requiring precise synchronized clocks at each node.
2Measurement precision
If GPS or time of flight measurements with precise clock systems are used for localization, then localization accuracy is improved, but system cost increases
Solution Approach 1:
The patent replaces expensive, power-intensive GPS receivers and precise clock systems with inexpensive, low-power microcontroller units that can be deployed throughout the structure. Each MU acts as a disposable, low-cost localization node that consumes minimal power while collectively providing accurate localization data through the networked TDOA system.
Solution Approach 2:
The patent substitutes the mechanical/electronic GPS receiver system with a software-based TDOA calculation system running on inexpensive microcontrollers. Instead of relying on GPS hardware and precise clock hardware, the system uses software to measure signal arrival times and calculate positions, dramatically reducing component costs.
3Ease of manufacture
If random sensor distribution is used, then system cost is reduced, but localization capability is worsened
Solution Approach 1:
The patent introduces signal propagation time measurements as an intermediary mechanism. Instead of requiring direct GPS signals at each node, the system uses wireless signal transmission times between MUs as intermediaries to calculate positions. This intermediary approach allows accurate localization without requiring precise synchronized clocks at each node.
Solution Approach 2:
The patent implements a feedback mechanism where MUs exchange signal transmission and reception time data, and the central system uses this feedback to calculate positions and potentially refine the localization algorithm. The system processes TDOA measurements from multiple MU pairs to determine accurate positions even with random distribution.
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 allows for accurate localization of nodes with reduced system cost and power consumption, enabling effective tracking of node positions in large-scale distributed sensor networks.
Implementation Method 1
Localization of nodes whose location is unknown within a network is accomplished by using time difference of flight measurements sent from nodes with known locations
Data Source
AI summary
A system for determining node locations comprises an interface for receiving a first set of measurements at a first set of nodes, the first set of nodes having known locations. The system further comprising an interface for receiving a second set of measurements at a node having an unknown location, and a processor configured for determining a location of the node with unknown location based at least in part on the first set of measurements and the second set of measurements.


