摘要
DR算法是行人导航中最常用的一种推算算法。分析常规DR算法,针对行人导航中DR算法是固定阈值,不能根据行人环境不同而自动调整阈值,导致行人定位精确度不高的缺点,提出了基于雷达的多级阈值DR算法,即RMLT DR算法。通过仿真模拟实验,对比分析了RMLT DR算法和常规DR算法的定位结果。验证了行人行走过程中,RMLT DR算法可以根据周围的环境自动选择阈值大小,具有更高的精确度。
Dead reckoning is the most common pedestrian navigation of a projection algorithm.This paper analyzed the traditional dead reckoning.The dead reckoning for pedestrian navigation which has a fixed threshold can not be different according to the pedestrian environment and can not automatically adjust the threshold value,which leads to Lower accuracy.Therefore this paper proposed the radar-based multi-level threshold dead reckoning that is RMLT DR algorithm.Through simulation experiments,compared RMLT DR algorithm and dead reckoning positioning.During pedestrians walking,RMLT DR algorithm can automatically select the threshold size according to the surrounding environment with higher accuracy.
出处
《计算机科学》
CSCD
北大核心
2011年第5期240-243,共4页
Computer Science
关键词
DR算法
多级阈值
RMLT
DR算法
行人导航
Dead reckoning
Multi-level threshold
RMLT DR algorithm
Pedestrian navigation
