Transceiver Community Self-Localization via Signal Topology
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Solution Overview
Problem
The challenge lies in accurately localizing components within an enclosure, as their location is crucial for calibration, maintenance, and repair, but external localization methods are labor-intensive, time-consuming, and prone to errors.
Innovation Solution
A method involving a coordinator transceiver that coordinates signal transmission among multiple transceivers to determine the location of a transceiver relative to others, using identification, time, and location data to establish a topology, facilitating real-time localization of transitory transceivers within facilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If external localization methods are used to determine component locations, then location information can be obtained, but the process becomes labor-intensive, time-consuming, and prone to errors
Solution Approach 1:
The transceiver components perform self-localization by autonomously determining their positions through signal transmission and reception with neighboring transceivers. Each transceiver acts as both a locator and a located object, eliminating the need for external manual localization methods and thereby reducing labor intensity and time consumption while maintaining accuracy.
Solution Approach 2:
The patent replaces manual external localization methods with an automated electromagnetic signal-based system. Transceivers use wireless signal transmission and time-of-flight measurements to automatically determine their positions, substituting mechanical human intervention with electronic automation, which reduces both time and potential for human error.
2Measurement precision
If external localization methods are used to determine component locations, then location information can be obtained, but the process becomes labor-intensive and error-prone
Solution Approach 1:
The transceiver components perform self-localization by autonomously determining their positions through signal transmission and reception with neighboring transceivers. Each transceiver acts as both a locator and a located object, eliminating the need for external manual localization methods and thereby reducing labor intensity and time consumption while maintaining accuracy.
Solution Approach 2:
The localization system uses feedback mechanisms where transceivers continuously exchange signal information and update their position data based on received signals from neighboring transceivers. This iterative feedback process improves localization reliability by allowing error correction and verification through multiple measurement cycles.
3Productivity
If a community of transceivers is deployed for localization, then real-time tracking capability is achieved, but system complexity increases
Solution Approach 1:
Each transceiver in the community is designed to be multi-functional, serving as both a locator and a located object, transmitting and receiving signals, and participating in mutual localization. This universality reduces overall system complexity compared to having dedicated separate localization devices for each transceiver.
Solution Approach 2:
The localization system is segmented into independent transceiver units that each perform localization functions autonomously. Each transceiver independently determines its position through interactions with neighboring transceivers, allowing the system to scale without proportionally increasing central coordination complexity.
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 precise and efficient localization of transceivers, reducing human error and labor, and allows for real-time tracking and synchronization of clocks, enhancing maintenance and calibration processes.
Implementation Method 1
using the second transceiver to sense the first signal at a second time to facilitate determination of a location of the first transceiver relative to the second transceiver
Data Source
AI summary
The present disclosure describes one or more communities of components (e.g., comprising one or more sensors and/or transceivers) that are configured to automatically locate and/or self-locate their members. The community of components includes a plurality of stationary components, and may include at least one transitory component.


