一种应用于室内外无缝定位系统的匹配算法
首发时间:2012-11-21
摘要:为了提高室内外无缝定位系统的定位精度,提出一种新的指纹匹配算法。该算法融合了Euclidian距离、定位结果间的关联性、滤波、阀值等参考元素,提高了定位精度和稳定性。文章介绍了室内外无缝定位系统及其定位算法,指出当前匹配算法的不足并对迭代匹配算法进行了详细阐述。在不同的信号质量条件下,分别用原算法和指纹匹配算法进行定位误差测试实验,结果表明迭代匹配算法有效减小了信号质量较差时定位误差变大的影响,使得定位精度得到了明显提升。
For information in English, please click here
A matching algorithm used for Indoor/ outdoor seamless positioning system
Abstract:IIn order to improve the positioning accuracy of indoor/ outdoor seamless positioning system, we present a new fingerprint matching algorithm. The algorithm incorporates Euclidean distance, relevance of positioning results, filtering,Valve value and other reference elements, which improves the positioning accuracy and stability. This paper introduces indoor/ outdoor seamless positioning system and its localization algorithm. It also points out the deficiency of the current matching algorithm and elaborated on iterative matching algorithm. In different signal quality condition, positioning error test experiment conducted by original algorithm and fingerprint matching algorithm showed that,the iterative matching algorithm effectively reduces influence of positioning error increaseing, which enhances the positioning accuracy.
Keywords: Fingerprints positioning matching iteration wireless positioning
基金:
论文图表:
引用
No.****
同行评议
共计0人参与
勘误表
一种应用于室内外无缝定位系统的匹配算法
评论
全部评论0/1000