In-House RF Localization With Automated Fingerprint Collection
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Solution Overview
Problem
Localization of electronic devices within environments using RF signals is challenging due to the limited number of anchors, such as Wi-Fi access points, and the cumbersome task of manual data collection for fingerprinting, which is impractical in home settings.
Innovation Solution
Utilizing immobile Wi-Fi-capable devices as additional anchors and implementing automated data collection to create localization models, with computation performed at the anchors rather than the mobile device, allowing for efficient and accurate localization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual data collection for fingerprinting is used, then localization accuracy can be achieved, but the process becomes cumbersome and impractical in home settings
Solution Approach 1:
The system enables automated data collection where electronic devices automatically perform measurements and contribute data to the localization model without requiring manual intervention. Devices self-organize to collect fingerprinting data during normal operation, eliminating the need for manual data collection while maintaining localization accuracy.
2Measurement precision
If the number of anchors is increased to improve localization, then more Wi-Fi access points are needed, but this is not feasible in home environments
Solution Approach 1:
The system enables electronic devices to serve dual purposes: their primary function and acting as anchors for localization. Mobile devices and other electronics become multifunctional by participating in both their intended use and providing localization signals, effectively increasing the number of anchors without adding dedicated infrastructure.
Solution Approach 2:
The system creates virtual copies of anchor functionality by having electronic devices simulate anchor behavior through software. Instead of requiring physical additional access points, the system software-configures devices to replicate anchor functions, providing multiple localization references from limited hardware resources.
3Ease of operation
If computation is performed at the mobile device, then localization can be achieved, but it increases device complexity and power consumption
Solution Approach 1:
The system extracts the computation-intensive localization processing from the mobile device and relocates it to servers or cloud infrastructure. The mobile device only needs to collect measurements and transmit data, while the complex computation of the localization model occurs externally, reducing device complexity and power consumption.
Data Source
AI summary
A method for localization includes obtaining a request to localize an electronic device within an area, wherein the area includes a set of anchors. The method also includes transmitting a first message to the electronic device and a second message to the set of anchors. the first message includes a time for the electronic device to transmit a measurement signal and the second message includes the time for the set of anchors to receive the measurement signal from the electronic device. The method further includes receiving, from the set of anchors, signal information associated with the measurement signal. Additionally, the method includes identifying a location of the electronic device within the area based on the signal information. The method also includes transmitting, to the electronic device, the location of the electronic device within the area.