A KFL-TOA UWB indoor positioning method for complex environment
A KFL-TOA UWB indoor positioning method for complex environment
复制标题
一种复杂环境下的KFL-TOA UWB室内定位方法
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Yijun Xu
中科院分区：
文献类型：
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作者：
Guosai Yang;Linhui Zhao;Yaping Dai;Yijun Xu
针对复杂室内环境下的定位问题，提出了一种基于到达时间(TOA)原理，结合卡尔曼滤波和线性化(KFL-TOA)的超宽带室内定位方法。当超宽带信号受到多径效应或非视距干扰时，该方法可以有效地减小定位误差，提高定位精度。定位系统采用了DWM1000模块。与传统TOA定位方法相比，定位结果表明：在无干扰条件下，KFL-UWB可以降低31.7%的均方根误差(RMSE)和31.0%的圆误差概率(CEP)；在多径效应条件下，可以降低13.7%的RMSE和9.7%的CEP；在NLOS条件下，可以降低32.9%的RMSE和36.1%的CEP。
For the positioning in a complex indoor environment, this paper proposed an indoor positioning method used Ultra-Wide Band (UWB), which based on time of arrival (TOA) principle, combining Kalman filtering and linearized (KFL-TOA). This method can reduce the positioning error and improve positioning accuracy effectively when the UWB signal is interfered by the multipath effect or the non-line-of-sight (NLOS). The DWM1000 module is used in the positioning system. Compared with traditional TOA positioning method, the positioning result show that: in the non-interference condition, The KFL-UWB can reduce 31.7% of the Root Mean Square Error (RMSE) and 31.0% of the Circular Error Probable (CEP); In the multipath effect condition, it can reduce 13.7% of the RMSE and 9.7% of the CEP; In the NLOS condition, it can reduce 32.9% of the RMSE and 36.1% of the CEP.