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Adaptive time delay estimation algorithm for indoor near‐field electromagnetic ranging
Author(s) -
Wang Peng,
Zhang Xiaotong,
Sun Guolu,
Xu Liyuan,
Xu Jinwu
Publication year - 2016
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.3113
Subject(s) - ranging , computer science , estimator , algorithm , convergence (economics) , signal (programming language) , group delay and phase delay , real time computing , adaptive algorithm , time of arrival , telecommunications , wireless , statistics , mathematics , bandwidth (computing) , economics , programming language , economic growth
Summary The near‐field electromagnetic ranging technology exploits the near‐field behavior of radio signals to measure distance in indoor real‐time location system. In this paper, we propose a new adaptive time‐delay estimation algorithm based on maximum correntropy criterion (MCC) and received signal strength indication (RSSI), abbreviated as RSSIMCC. The proposed RSSIMCC algorithm estimates the time delay between the electric and magnetic components of low‐frequency signals in the near field instead of detecting the phase difference. An inaccurate time‐delay estimation value obtained according to the RSSI is used as the initial time delay of adaptive time‐delay estimator, which is not far from the true time delay and can improve the convergence speed. Through the analysis of simulation and experiment results, we conclude that the proposed RSSIMCC algorithm can estimate the time delay with small steady‐state error in near‐field electromagnetic ranging application. Then the time delay estimated by RSSIMCC algorithm can be exploited based on the near‐field behavior of radio signals for ranging in an indoor environment. Copyright © 2016 John Wiley & Sons, Ltd.