HUANG Yihua, LUI Zongyuan, LING Guojun, et al., “An Improved Bayesian-based RFID Indoor Location Algorithm,” Chinese Journal of Electronics, vol. 18, no. 3, pp. 509-512, 2009,
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, pp. 509-512, 2009,
HUANG Yihua, LUI Zongyuan, LING Guojun, et al., “An Improved Bayesian-based RFID Indoor Location Algorithm,” Chinese Journal of Electronics, vol. 18, no. 3, pp. 509-512, 2009,
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, pp. 509-512, 2009,
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.