Research Article
An Improved HMFCW Algorithm for Ranging in RFID System
@INPROCEEDINGS{10.1007/978-3-030-67720-6_49, author={Zengshan Tian and Shuwen Wu and Liangbo Xie and Xixi Liu}, title={An Improved HMFCW Algorithm for Ranging in RFID System}, proceedings={Communications and Networking. 15th EAI International Conference, ChinaCom 2020, Shanghai, China, November 20-21, 2020, Proceedings}, proceedings_a={CHINACOM}, year={2021}, month={2}, keywords={Phase cycle ambiguity Improved HMFCW algorithm The point with large phase error Phase error tolerance Ranging}, doi={10.1007/978-3-030-67720-6_49} }- Zengshan Tian
Shuwen Wu
Liangbo Xie
Xixi Liu
Year: 2021
An Improved HMFCW Algorithm for Ranging in RFID System
CHINACOM
Springer
DOI: 10.1007/978-3-030-67720-6_49
Abstract
Since the measured phase is usually a wrapped phase during ranging, the phase-based ranging method needs to solve the ambiguity so as to obtain the true phase. HMFCW (heuristic multi-frequency continuous wave) algorithm provides the same tolerance of error for the observed phase of different frequencies. When the error of phase is within the tolerance and the range of ranging is less than the period, the phase error tolerance method can get the correct cycle number, and achieve a ranging accuracy of centimeter. However, when phase errors of some frequencies are large, HMFCW algorithm may have difficulty in solving the integer ambiguity, which leads to the decrease of ranging accuracy. In this paper, an improved HMFCW algorithm based on HMFCW algorithm is proposed. The improved HMFCW algorithm calculates the average value of the clustering phase results to eliminate the phases with large errors, and performs the cycle calculation to obtain the ranging value. Simulation results show that improved HMFCW algorithm can solve the problem of error in the cycle ambiguity solution caused by the point with large phase error effectively, and improve the ranging accuracy.
