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.

Qian Yang’s poster of an “Neural Network-Based State Estimation of HIMR RFID System” is now available.  The poster was presented in April in Phoenix, AZ during the IEEE RFID 2019 conference.

The PDF of the poster may be downloaded here: Yang Qian’s Poster

Download Cheng Qi’s poster presentation from IEEE RFID 2019 entitled, “Breaking the Range Limit of RFID Localization: Phase-based Positioning with Tunneling Tags,” which was presented in Phoenix, AZ this April. The PDF may be downloaded here: RFID2019Poster_Cheng