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削减NLOS误差的UWB室内定位算法
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xue-jiannlos-wu-cha-deuwb-shi-nei-ding-wei-suan-fa
UWB interior positioning algorithm for NLOS error reduction
辽宁工程技术大学 电子与信息工程学院
重庆邮电大学学报(自然科学版) 2022.10
为了解决非视距(non-line of sight, NLOS)环境下超宽带(ultra-wideband, UWB)室内定位精度低的问题,提出一种基于到达时间差(time difference of arrival, TDOA)的UWB 室内定位算法来削减NLOS 误差,提高定位精度。利用卡尔曼滤波算法,初次估计移动标签节点与各锚节点间的TDOA 值;基于TDOA 差值进行NLOS 误差判别,依据判别结果对受NLOS 误差影响的测量值进行视距(line of sight, LOS)重构,并利用仅受LOS 误差影响的历史值更新卡尔曼滤波的协方差阵;利用Chan-Taylor 算法进行迭代计算,得到最终精确的定位结果。实验结果表明,在LOS环境下,提出的算法能达到分米级的定位精度;在受NLOS 影响的环境下,该算法能有效提高定位精度,减小定位误差,具有更好的稳定性。
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削减NLOS误差的UWB室内定位算法.pdf
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NLOS, UWB, 室内定位, 算法
削减NLOS误差的UWB室内定位算法,UWB interior positioning algorithm for NLOS error reduction
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