Abstract
Techniques are described for using Wi-Fi® active sensors where the exact location is known. A Real-Time Location System (RTLS) compares a predicted location of devices with their actual location and measures the variance. Variance data is compared with the Radio Frequency (RF) metrics reported by the sensors at the time of measurement such that a regression model is created. Thus, based on the fully trained model, a correction factor for the RTLS algorithm may be determined at any given time and place in the Wireless Local Area Network (WLAN) to improve location accuracy.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Barton, Robert; Henry, Jerome; and Desai, Vishal, "DYNAMIC RE-CALIBRATION OF LOCATION USING ACTIVE SENSORS AND BEHAVIORAL ANALYTICS", Technical Disclosure Commons, (December 12, 2018)
https://www.tdcommons.org/dpubs_series/1773