UWB-Based AOA Indoor Position-Tracking System and Data Processing Algorithm
A position tracking system and data processing algorithm based on the angle of arrival (AOA) are innovatively proposed to reduce the system’s static error and filter abnormal data due to occlusion in the communication path. The mechanism of filtering abnormal data and determining thresholds through algorithms has been investigated in principle. The comparative analysis of the measured data employing the extended Kalman and median filtering algorithms, respectively, highlights the advantages of the proposed algorithms in processing the data. The algorithm can effectively eliminate abnormal data points in the measured original data, reduce the unstable jitter of the base station rotation, and facilitate the angle data to meet the requirements of the base station rotation control.
Authors
- Yuhang Lin (ORCID: https://orcid.org/0000-0001-9446-2625)
- Lihong Zhu (ORCID: https://orcid.org/0000-0002-7919-1967)
- Hengli Zhu
- Xi Zheng (ORCID: https://orcid.org/0000-0001-7920-6439)
- Chenming Zhong (ORCID: https://orcid.org/0000-0001-7466-1264)
- Yijun Lü (ORCID: https://orcid.org/0000-0002-1247-6597)
- Weijie Guo (ORCID: https://orcid.org/0000-0001-9635-3342)
- Yulin Gao (ORCID: https://orcid.org/0009-0008-7865-2419)
- Jianbang Zhuang
- Zhong Chen (ORCID: https://orcid.org/0000-0002-1473-2224)
- Hongqing Hu
- Robert Wei-Pang Lin (ORCID: https://orcid.org/0009-0001-7902-6363)
Institutions
- Xiamen University (CN)
Publication Details
- Journal
- IEEE Sensors Journal
- Published
- 2024-08-16
- DOI
- https://doi.org/10.1109/jsen.2024.3442192
- Citations
- 6
- Primary Topic
- Indoor and Outdoor Localization Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.25
Funders
- Science and Technology Projects of Fujian Province
- National Natural Science Foundation of China