A New Type of 5G-Oriented Integrated BDS/SON High-Precision Positioning
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/21/4261 |
| _version_ | 1797511857441865728 |
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| author | Wenhua Tong Decai Zou Tao Han Xiaozhen Zhang Pengli Shen Xiaochun Lu Pengbo Wang Ting Yin |
| author_facet | Wenhua Tong Decai Zou Tao Han Xiaozhen Zhang Pengli Shen Xiaochun Lu Pengbo Wang Ting Yin |
| author_sort | Wenhua Tong |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T05:53:53Z |
| format | Article |
| id | doaj.art-6a3a3ea29c5e431ca86ca2b08e818a09 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T05:53:53Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-6a3a3ea29c5e431ca86ca2b08e818a092023-11-22T21:30:51ZengMDPI AGRemote Sensing2072-42922021-10-011321426110.3390/rs13214261A New Type of 5G-Oriented Integrated BDS/SON High-Precision PositioningWenhua Tong0Decai Zou1Tao Han2Xiaozhen Zhang3Pengli Shen4Xiaochun Lu5Pengbo Wang6Ting Yin7National Time Service Center, Chinese Academy of Sciences, Xi’an 710600, ChinaNational Time Service Center, Chinese Academy of Sciences, Xi’an 710600, ChinaCollege of Science, Xi’an University of Technology, Xi’an 713300, ChinaNational Time Service Center, Chinese Academy of Sciences, Xi’an 710600, ChinaNational Time Service Center, Chinese Academy of Sciences, Xi’an 710600, ChinaNational Time Service Center, Chinese Academy of Sciences, Xi’an 710600, ChinaNational Time Service Center, Chinese Academy of Sciences, Xi’an 710600, ChinaNational Time Service Center, Chinese Academy of Sciences, Xi’an 710600, ChinaChina 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.https://www.mdpi.com/2072-4292/13/21/4261Beidou Navigation Satellite Systemself-organizing networkrobust filteringfading filteringfederated kalman filtering |
| spellingShingle | Wenhua Tong Decai Zou Tao Han Xiaozhen Zhang Pengli Shen Xiaochun Lu Pengbo Wang Ting Yin A New Type of 5G-Oriented Integrated BDS/SON High-Precision Positioning Remote Sensing Beidou Navigation Satellite System self-organizing network robust filtering fading filtering federated kalman filtering |
| title | A New Type of 5G-Oriented Integrated BDS/SON High-Precision Positioning |
| title_full | A New Type of 5G-Oriented Integrated BDS/SON High-Precision Positioning |
| title_fullStr | A New Type of 5G-Oriented Integrated BDS/SON High-Precision Positioning |
| title_full_unstemmed | A New Type of 5G-Oriented Integrated BDS/SON High-Precision Positioning |
| title_short | A New Type of 5G-Oriented Integrated BDS/SON High-Precision Positioning |
| title_sort | new type of 5g oriented integrated bds son high precision positioning |
| topic | Beidou Navigation Satellite System self-organizing network robust filtering fading filtering federated kalman filtering |
| url | https://www.mdpi.com/2072-4292/13/21/4261 |
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