Single-base station hybrid positioning algorithm based on LOS identification
Abstract In the complex multipath propagation environment, whether there is a line of sight (LOS) path will directly affect the positioning accuracy. Therefore, this paper proposes a single base station hybrid positioning algorithm based on LOS identification. In the algorithm, we first construct mu...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-07-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13638-023-02263-2 |
| _version_ | 1797779161750700032 |
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| author | Yang Gao Zihan Jiao Qiang Wu Xiaoyuan Dou Jiancun Fan |
| author_facet | Yang Gao Zihan Jiao Qiang Wu Xiaoyuan Dou Jiancun Fan |
| author_sort | Yang Gao |
| collection | DOAJ |
| description | Abstract In the complex multipath propagation environment, whether there is a line of sight (LOS) path will directly affect the positioning accuracy. Therefore, this paper proposes a single base station hybrid positioning algorithm based on LOS identification. In the algorithm, we first construct multiple features based on channel state information with LOS and without LOS in statistical distribution and use these features and gradient boosting decision tree to determine whether there is a LOS path in the environment. Then for the environment with a LOS path, we proposed a positioning method based on the estimation of signal parameters via rotation invariant technology algorithm which can be used to jointly estimate the angle of arrival and time delay of the LOS path for positioning, while for the environment without LOS path, we propose a positioning method based on adaptive genetic algorithm. Finally, a single base station hybrid positioning algorithm based on LOS identification and the corresponding positioning methods. Simulation results show that the proposed hybrid positioning algorithm can achieve high-precision positioning in the complex multipath propagation environment. |
| first_indexed | 2024-03-12T23:27:39Z |
| format | Article |
| id | doaj.art-ea06745b36ba4d3d991427bad53467cd |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-03-12T23:27:39Z |
| publishDate | 2023-07-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-ea06745b36ba4d3d991427bad53467cd2023-07-16T11:03:51ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992023-07-012023112010.1186/s13638-023-02263-2Single-base station hybrid positioning algorithm based on LOS identificationYang Gao0Zihan Jiao1Qiang Wu2Xiaoyuan Dou3Jiancun Fan4State Key Laboratory of Geo-Information Engineering, Xi’an Research Institute of Surveying and MappingSchool of Information and Communications Engineering, Xi’an Jiaotong UniversityState Key Laboratory of Geo-Information Engineering, Xi’an Research Institute of Surveying and MappingSchool of Information and Communications Engineering, Xi’an Jiaotong UniversitySchool of Information and Communications Engineering, Xi’an Jiaotong UniversityAbstract In the complex multipath propagation environment, whether there is a line of sight (LOS) path will directly affect the positioning accuracy. Therefore, this paper proposes a single base station hybrid positioning algorithm based on LOS identification. In the algorithm, we first construct multiple features based on channel state information with LOS and without LOS in statistical distribution and use these features and gradient boosting decision tree to determine whether there is a LOS path in the environment. Then for the environment with a LOS path, we proposed a positioning method based on the estimation of signal parameters via rotation invariant technology algorithm which can be used to jointly estimate the angle of arrival and time delay of the LOS path for positioning, while for the environment without LOS path, we propose a positioning method based on adaptive genetic algorithm. Finally, a single base station hybrid positioning algorithm based on LOS identification and the corresponding positioning methods. Simulation results show that the proposed hybrid positioning algorithm can achieve high-precision positioning in the complex multipath propagation environment.https://doi.org/10.1186/s13638-023-02263-2Single-base stationLOS identificationHyprid positioningESPRITNLOS mitigation |
| spellingShingle | Yang Gao Zihan Jiao Qiang Wu Xiaoyuan Dou Jiancun Fan Single-base station hybrid positioning algorithm based on LOS identification EURASIP Journal on Wireless Communications and Networking Single-base station LOS identification Hyprid positioning ESPRIT NLOS mitigation |
| title | Single-base station hybrid positioning algorithm based on LOS identification |
| title_full | Single-base station hybrid positioning algorithm based on LOS identification |
| title_fullStr | Single-base station hybrid positioning algorithm based on LOS identification |
| title_full_unstemmed | Single-base station hybrid positioning algorithm based on LOS identification |
| title_short | Single-base station hybrid positioning algorithm based on LOS identification |
| title_sort | single base station hybrid positioning algorithm based on los identification |
| topic | Single-base station LOS identification Hyprid positioning ESPRIT NLOS mitigation |
| url | https://doi.org/10.1186/s13638-023-02263-2 |
| work_keys_str_mv | AT yanggao singlebasestationhybridpositioningalgorithmbasedonlosidentification AT zihanjiao singlebasestationhybridpositioningalgorithmbasedonlosidentification AT qiangwu singlebasestationhybridpositioningalgorithmbasedonlosidentification AT xiaoyuandou singlebasestationhybridpositioningalgorithmbasedonlosidentification AT jiancunfan singlebasestationhybridpositioningalgorithmbasedonlosidentification |