摘要
为了进一步研究提高室内定位的精度,分析适合用于室内定位的基于超宽带(UWB)测距技术的算法:建立基于UWB的测距模型;分析线性最小均方差估计(LLSE)、加权质心估计(WCE)及指纹估计(FPE)3种算法的均方差;然后比较分析视距(LOS)和非视距(NLOS)场景下的均方差特性;最后总结出基于UWB测距的较高精度的室内定位算法。仿真结果表明:相比于LLSE和WCE算法,FPE算法更适应室内定位,在室内环境具有更高的定位精度,但其复杂度较高;而LLSE不适合应用于基于UWB测距的室内定位算法。
In order to further study on improving the accuracy of indoor navigation,the paper evaluated the indoor positioning algorithms based on Ultra Wide Band(UWB)ranging:the UWB range model was constructed;and the mean square errors of three algorithms including Linearized Least Square Estimation(LLSE),Weighted Centroid Estimation(WCE)and Finger Print Estimation(FPE)were analyzed;then the mean square error characteristics of the algorithms under the scenarios of Line-of-Sight(LOS)and Non-Line-of-Sight(NLOS)were comparatively evaluated;finally the indoor positioning algorithm with higher accuracy based on UWB was summarized.Simulational result showed that compared with LLSE and WCE,FPE would be more suitable for indoor positioning with higher accuracy while higher complexity;and LLSE could be not suitable for the application of the indoor positioning algorithm based on UWB ranging.
作者
张媛
缪相林
王梅
丁凰
ZHANG Yuan;MIAO Xianglin;WANG Mei;DING Huang(City College,Xi’an Jiaotong University,Xi'an 710018,China;School of Computer Science and Technology,Xi'an Jiaotong University,Xi'an 710049,China)
出处
《导航定位学报》
CSCD
2020年第6期132-136,共5页
Journal of Navigation and Positioning
关键词
室内定位
超宽带
线性最小均方误差估计
加权质心估计
指纹估计
indoor positioning
ultra wide band
linearized least square error estimation
weighted centroid estimation
fingerprint estimation
