Usefulness of nonlinear interpolation and particle filter in Zigbee indoor positioning
Usefulness of nonlinear interpolation and particle filter in Zigbee indoor positioning
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DOI：
10.2478/geocart-2014-0016
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发表时间：
2014-12
影响因子：
2
通讯作者：
Xiang Zhang-;Helei Wu;M. Uradziński
中科院分区：
文献类型：
--
作者：
Xiang Zhang-;Helei Wu;M. Uradziński
指纹定位算法的关键是根据接收信号强度指示器（RSSI）的不同参考节点建立有效的指纹信息数据库。传统的标定方法是在标定区域内设置多个信息采样点，采集大量的采样数据，非常耗时。以Zigbee传感器网络为平台，考虑到定位信号干扰的影响，提出了一种基于多项式插值的虚拟数据库获取改进算法，并对预估结果进行粒子滤波处理。实验结果表明，该方法能够快速、简单地生成细粒度的定位信息库，同时提高了定位精度。
: The key to fi ngerprint positioning algorithm is establishing effective fi ngerprint information database based on different reference nodes of received signal strength indicator (RSSI). Traditional method is to set the location area calibration multiple information sampling points, and collection of a large number sample data what is very time consuming. With Zigbee sensor networks as platform, considering the in fl uence of positioning signal interference, we proposed an improved algorithm of getting virtual database based on polynomial interpolation, while the pre-estimated result was disposed by particle fi lter. Experimental result shows that this method can generate a quick, simple fi ne-grained localization information database, and improve the positioning accuracy at the same time.