HUANG Yihua, LUI Zongyuan, LING Guojun, et al. “An Improved Bayesian-based RFID Indoor Location Algorithm”. Chinese Journal of Electronics, vol. 18 no. 3.
Citation:
HUANG Yihua, LUI Zongyuan, LING Guojun, et al. “An Improved Bayesian-based RFID Indoor Location Algorithm”. Chinese Journal of Electronics, vol. 18 no. 3.
HUANG Yihua, LUI Zongyuan, LING Guojun, et al. “An Improved Bayesian-based RFID Indoor Location Algorithm”. Chinese Journal of Electronics, vol. 18 no. 3.
Citation:
HUANG Yihua, LUI Zongyuan, LING Guojun, et al. “An Improved Bayesian-based RFID Indoor Location Algorithm”. Chinese Journal of Electronics, vol. 18 no. 3.
RFID technologies attract more attention forits good performance in many applications. Indoor location based onactive RFID technologies provides an approach with a high performanceto price ratio, which further expands the applications. This paperproposes a new algorithm, which is based on analysis of LANDMARCalgorithm and the general Bayesian-based algorithm. Our algorithm isessentially a Bayesian-based algorithm, but it makes some improvementsto overcome the drawbacks of LANDMARC algorithm and the generalBayesian-based algorithm. Simulation results show that our algorithmcan provide better performance than LANDMARC algorithm and the generalBayesian-based algorithm.