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在室外复杂环境下,接收信号强度的浮动是制约Fingerprint定位精度的一个主要问题。传统的方法利用时间分集和平均滤波器来减小信号的浮动,这增加了定位的延迟,无法满足室外实时定位的需求。为了解决信号浮动和定位延迟问题,在分析接收信号强度空间相关性的基础上,提出了一种实时的Fingerprint定位算法,利用空间分集减小信号的浮动和定位延迟,同时根据运动物体轨迹的连续性提高定位精度。室外环境下的实验结果表明了所提算法能显著提高Fingerprint定位系统的性能。
In outdoor complex environments, fluctuations in received signal strength are a major constraint on Fingerprint positioning accuracy. The traditional method uses time diversity and average filter to reduce the signal floating, which increases the positioning delay and can not meet the demand of outdoor real-time positioning. In order to solve the problem of signal floating and positioning delay, based on the analysis of spatial correlation of received signal strength, a real-time Fingerprint positioning algorithm is proposed, which uses space diversity to reduce the signal floating and positioning delay. At the same time, Improve the positioning accuracy. Experimental results in outdoor environment show that the proposed algorithm can significantly improve Fingerprint positioning system performance.