摘要
针对全球卫星定位系统(GPS)在密集城市地带、隧道、室内停车场等环境下不可用及Wi-Fi定位精度不足的问题,提出了一种Wi-Fi/GPS组合定位系统。该系统基于联邦Kalman滤波器,先通过两个并行的局部滤波器获得Wi-Fi、GPS定位子系统的局部最优估计,再由主滤波器融合得到最优全局估计。仿真结果表明:较之单独使用GPS或Wi-Fi,组合定位系统的定位精度分别提高了近70%和81%,且有效扩大了应用范围。
Since the global positioning system(GPS) is unavailable in dense urban environments,tunnels,indoor parking lots,etc.and the Wi-Fi system suffers from low accuracy,this paper presents a Wi-Fi/GPS integrated positioning system based on the federate Kalman filter(FKF).The local optimal estimates of the Wi-Fi positioning and GPS are produced by two local filters operating in parallel and then inputted to a master filter to yield a globally optimal estimate.Simulation results show that the accuracy is remarkably improved by about 70% compared with GPS positioning alone and 81% compared with Wi-Fi alone.The scope of positioning is also effectively expanded.
出处
《清华大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2011年第3期420-423,427,共5页
Journal of Tsinghua University(Science and Technology)