| A New Type of 5G-Oriented Integrated BDS/SON High-Precision Positioning | |
| Tong, Wenhua1,2,3; Zou, Decai1,2,3; Han, Tao4; Zhang, Xiaozhen1,2,3; Shen, Pengli1,2,3; Lu, Xiaochun1,2,3; Wang, Pengbo1,2,3; Yin, Ting1,2,3 | |
| 2021-11-01 | |
| 发表期刊 | REMOTE SENSING
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| 卷号 | 13期号:21页码:17 |
| 摘要 | China is promoting the construction of an integrated positioning, navigation, and timing (PNT) systems with the BeiDou Navigation Satellite System (BDS) as its core. To expand the positioning coverage area and improve the positioning performance by taking advantage of device-to-device (D2D) and self-organizing network (SON) technology, a BDS/SON integrated positioning system is proposed for the fifth-generation (5G) networking environment. This system relies on a combination of time-of-arrival (TOA) and BeiDou pseudo-range measurements to effectively supplement BeiDou signal blind spots, expand the positioning coverage area, and realize higher precision in continuous navigation and positioning. By establishing the system state model, and addressing the single-system positioning divergence and insufficient accuracy, a robust adaptive fading filtering (RAF) algorithm based on the prediction residual is proposed to suppress gross errors and filtering divergence in order to improve the stability and accuracy of the positioning results. Subsequently, a federated Kalman filtering (FKF) algorithm operating in fusion-feedback mode is developed to centrally process the positioning information of the combined system. Considering that the prediction error can reflect the magnitude of the model error, an adaptive information distribution coefficient is introduced to further improve the filtering performance. Actual measurement and significance test results show that by integrating BDS and SON positioning data, the proposed algorithm realizes robust, reliable, and continuous high precision location services with anti-interference capabilities and good universality. It is applicable in scenarios involving unmanned aerial vehicles (UAVs), autonomous driving, military, public safety and other contexts and can even realize indoor positioning and other regional positioning tasks. |
| 关键词 | Beidou Navigation Satellite System self-organizing network robust filtering fading filtering federated kalman filtering |
| 资助者 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Shanxi province, China ; Natural Science Foundation of Shanxi province, China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Shanxi province, China ; Natural Science Foundation of Shanxi province, China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Shanxi province, China ; Natural Science Foundation of Shanxi province, China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Shanxi province, China ; Natural Science Foundation of Shanxi province, China |
| DOI | 10.3390/rs13214261 |
| 语种 | 英语 |
| 资助项目 | National Natural Science Foundation of China[41974032] ; Natural Science Foundation of Shanxi province, China[2021JM-323] |
| 资助者 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Shanxi province, China ; Natural Science Foundation of Shanxi province, China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Shanxi province, China ; Natural Science Foundation of Shanxi province, China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Shanxi province, China ; Natural Science Foundation of Shanxi province, China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Natural Science Foundation of Shanxi province, China ; Natural Science Foundation of Shanxi province, China |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000718552700001 |
| 出版者 | MDPI |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://210.72.145.45/handle/361003/14012 |
| 专题 | 导航与通信研究室 |
| 通讯作者 | Tong, Wenhua |
| 作者单位 | 1.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China 2.Chinese Acad Sci, Key Lab Precis Nav & Timing Technol, Xian 710600, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Xian Univ Technol, Coll Sci, Xian 713300, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tong, Wenhua,Zou, Decai,Han, Tao,et al. A New Type of 5G-Oriented Integrated BDS/SON High-Precision Positioning[J]. REMOTE SENSING,2021,13(21):17. |
| APA | Tong, Wenhua.,Zou, Decai.,Han, Tao.,Zhang, Xiaozhen.,Shen, Pengli.,...&Yin, Ting.(2021).A New Type of 5G-Oriented Integrated BDS/SON High-Precision Positioning.REMOTE SENSING,13(21),17. |
| MLA | Tong, Wenhua,et al."A New Type of 5G-Oriented Integrated BDS/SON High-Precision Positioning".REMOTE SENSING 13.21(2021):17. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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