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Decision tree-extended finite impulse response filtering for pedestrian tracking over tightly integrated inertial navigation system/ultra wide band data
Measurement Science and Technology ( IF 2.7 ) Pub Date : 2020-12-22 , DOI: 10.1088/1361-6501/abb38a
Yuan Xu 1 , Yuriy S Shmaliy 2 , Luchi Hua 3 , Liyao Ma 1 , Yuan Zhuang 4
Affiliation  

Although the tightly integrated inertial navigation system/ultra wide band (INS/UWB) improves the localization accuracy, it suffers from UWB distance outage. In order to reduce the outage effect on the position accuracy, in this paper we propose using a novel decision tree (DT)-extended finite impulse response (EFIR) filter. When all the UWB distances are available, the EFIR filter tightly fuses the INS and UWB data. Otherwise, the DT builds a relationship between the INS and UWB position errors. Once at least one UWB distance is unavailable, the DT bridges a gap over unavailable measurements. It is shown experimentally that the DT-EFIR filter is an efficient tool to reduce the effect of the UWB distance outage on the INS/UWB system operation, which can improve the localization error by about 40% as compared with the UWB solution.



中文翻译:

在紧密集成的惯性导航系统/超宽带数据上进行行人跟踪的决策树扩展的有限脉冲响应滤波

尽管紧密集成的惯性导航系统/超宽带(INS / UWB)改善了定位精度,但是它遭受UWB距离中断的困扰。为了减少停电对位置精度的影响,在本文中,我们提出使用新颖的决策树(DT)扩展有限脉冲响应(EFIR)滤波器。当所有UWB距离均可用时,EFIR滤波器将INS和UWB数据紧密融合。否则,DT将在INS和UWB位置错误之间建立关系。一旦至少一个UWB距离不可用,DT就会在不可用的测量结果之间架起一座桥梁。实验表明,DT-EFIR滤波器是减少UWB距离中断对INS / UWB系统操作的影响的有效工具,与UWB解决方案相比,它可以将定位误差提高约40%。

更新日期:2020-12-22
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