西安电子科技大学学报（自然科学版）2017，Vol.44Issue(4)：156-161,6.DOI:10.3969/j.issn.1001-2400.2017.04.027
多观测值约束的可见光定位算法
Visible light localization algorithm based on multi-measurements constraints
摘要
Abstract
In the indoor visible light transmission environment with complex noise,traditional received signal strength indication(RSSI)localization algorithm and imaging localization algorithm are unable to accurately determine the reason of the inaccurate localization model and inadequate constraints of position coordinates.In order to solve the problems,a visible light localization algorithm based on multi-measurements constraints is presented in the paper.The algorithm first constructs a joint localization state space model based on RSSI localization and the imaging localization algorithm.Then,states,measurements and their equations are constructed based on the space model.Finally,the equations are resolved using the unscented Kalman filter(UKF).Compared with RSSI localization and imaging localization,simulation results show that the RMSE of the proposed algorithm could be closer to the Cramer Rao bound.Besides,the localization probability of the proposed algorithm is higher than that of RSSI localization and imaging localization algorithm.关键词
可见光/室内定位系统/成像传感器/克拉美罗下界Key words
visible light/indoor positioning system/image sensor/Cramer-Rao lower bounds分类
信息技术与安全科学引用本文复制引用
鲁航,崔维嘉,巴斌,逯志宇..多观测值约束的可见光定位算法[J].西安电子科技大学学报（自然科学版）,2017,44(4):156-161,6.基金项目
国家自然科学基金资助项目(61401513) （61401513）
