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Motion Capture Using RFID and the Kalman Filter

Posted on June 17, 2019 Written by Gregory Durgin

Analysis of Kalman Filter-Based Localization for HIMR RFID Systems
Qian Yang, David G. Taylor, Muhammad B. Akbar, Gregory D. Durgin
IEEE Journal of Radio Frequency Identification, 2019

A new paper demonstrating the power of the Kalman filter is now available.  GTPG researcher Qian Yang and coauthors use sensor-fusion data from a microwave backscatter link to demonstrate mm-scale localization of RF transponders.  This study is unique because it breaks down the individual contributions of signal strength, backscatter phase, and inertial sensor measurements to a very precise position estimation problem.  This work is an important next-step in the “holy grail” of wireless position location: precise motion-capture at a distance in 3D.

Filed Under: Backscatter Radio, Publication, Radiolocation

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27-29 April 2021, Phoenix, AZ
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