摘要

We propose a new positioning system based on the received signal strength (RSS) fingerprinting 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 significantly without calibration process. The simulation results show the efficacy of our approach.