A Novel NLOS Identification and Error Mitigation Method for UWB Ranging and Positioning

被引:2
|
作者
Wang, Qiu [1 ]
Chen, Ming-Song [1 ]
Wang, Guan-Qiang [2 ]
Li, Kai [2 ]
Lin, Yong-Cheng [2 ]
Li, Ze-Hao [1 ]
Zhang, Chi-Zhou [1 ]
机构
[1] Cent South Univ, Light Alloy Res Inst, Changsha 410083, Hunan, Peoples R China
[2] Cent South Univ, Sch Mech & Elect Engn, Changsha 410083, Hunan, Peoples R China
关键词
Distance measurement; Nonlinear optics; Kalman filters; Fresnel reflection; Ultra wideband technology; Position measurement; Measurement uncertainty; Propagation conditions identification; error mitigation; IRUKF; information fusion; UWB positioning;
D O I
10.1109/LCOMM.2023.3340248
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this letter, we propose a novel Non-Line-of-Sight (NLOS) identification and error-mitigation method for dynamic object positioning and ultra-wideband (UWB) ranging. By utilizing inverse estimation on known Anchor Points (APs) and improved robust unscented Kalman filter (IRUKF), while fusing Gyroscope and Accelerometer data, the proposed technology identifies and compensates for NLOS occlusions between tag and APs, reducing positioning errors. The approach has been verified through simulation and experiment, with identification precision of 97.02%. After mitigating errors, substantial error reductions of 91.80% and 98.90% were observed in LOS and NLOS situations, respectively. Moreover, the developed IRUKF effectively minimizes mislocalization by 50.48% in harsh scenarios.
引用
收藏
页码:48 / 52
页数:5
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