Accurate source localization approach based on illuminating LEDs in indoor environment
We propose a new positioning system based on the received signal strength (RSS) finger-printing approach. The RSSs of LEDs are influenced by some ambient parameters, such as radiation pattern, incidence angle, attenuation coefficient, multipath fading and so on. And these factors degrade the performance of some existing range-based localization approaches significantly. To overcome this drawback, we prestore the RSS measurements of different grids by offline training phase. In the online localization phase, we compare the instantaneous RSS with the prestored RSS measurements using correlation matching technique. Our proposed approach can improve the accuracy of localization sig-nificantly without calibration process. The simulation results show the efficacy of our approach.
Received signal strength LED Visible Light Communications indoor localization
Yan Zhang Xiansheng Guo Ya Zhou
School of Architecture and Civil Engineering, Chengdu University, Chengdu, China School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Architecture and Art of College, North China University of Technology, Beijing, China
国际会议
重庆
英文
971-975
2015-12-18（万方平台首次上网日期，不代表论文的发表时间）