5G NR downlink AOD-based localization
Large antenna arrays, millimeter-wave signals, large bandwidth and dense deployment are the characteristics of 5G networks. These technologies not only enable high-data rate communications but also have the potential superiority of accurate positioning. This dissertation aims to study the millimeter...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/157291 |
| _version_ | 1826124938751246336 |
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| author | Liang, Wenfei |
| author2 | Tay Wee Peng |
| author_facet | Tay Wee Peng Liang, Wenfei |
| author_sort | Liang, Wenfei |
| collection | NTU |
| description | Large antenna arrays, millimeter-wave signals, large bandwidth and dense deployment are the characteristics of 5G networks. These technologies not only enable high-data rate communications but also have the potential superiority of accurate positioning. This dissertation aims to study the millimeter-wave positioning properties and existing angle of departure (AoD) based localization algorithms for 5G communication networks and integrate existing methods and add new contents to realize three-dimensional non-line-of-sight (NLOS) based localization with the assumption that received NLOS path signals only reflect once.
To achieve the objective, the SAGE algorithm is applied to estimate channel parameters due to its faster convergence and lower complexity. The position of a mobile station (MS) is recovered using the estimated channel parameters through the geometrical relationship between base station (BS) and MS in three-dimensional scenario. The method can achieve sub-meter localization error with probability of 0.9 in NLOS scenario. |
| first_indexed | 2024-10-01T06:28:32Z |
| format | Thesis-Master by Coursework |
| id | ntu-10356/157291 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:28:32Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1572912023-07-04T17:47:39Z 5G NR downlink AOD-based localization Liang, Wenfei Tay Wee Peng School of Electrical and Electronic Engineering wptay@ntu.edu.sg Engineering::Electrical and electronic engineering Large antenna arrays, millimeter-wave signals, large bandwidth and dense deployment are the characteristics of 5G networks. These technologies not only enable high-data rate communications but also have the potential superiority of accurate positioning. This dissertation aims to study the millimeter-wave positioning properties and existing angle of departure (AoD) based localization algorithms for 5G communication networks and integrate existing methods and add new contents to realize three-dimensional non-line-of-sight (NLOS) based localization with the assumption that received NLOS path signals only reflect once. To achieve the objective, the SAGE algorithm is applied to estimate channel parameters due to its faster convergence and lower complexity. The position of a mobile station (MS) is recovered using the estimated channel parameters through the geometrical relationship between base station (BS) and MS in three-dimensional scenario. The method can achieve sub-meter localization error with probability of 0.9 in NLOS scenario. Master of Science (Communications Engineering) 2022-05-12T00:24:35Z 2022-05-12T00:24:35Z 2022 Thesis-Master by Coursework Liang, W. (2022). 5G NR downlink AOD-based localization. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157291 https://hdl.handle.net/10356/157291 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Liang, Wenfei 5G NR downlink AOD-based localization |
| title | 5G NR downlink AOD-based localization |
| title_full | 5G NR downlink AOD-based localization |
| title_fullStr | 5G NR downlink AOD-based localization |
| title_full_unstemmed | 5G NR downlink AOD-based localization |
| title_short | 5G NR downlink AOD-based localization |
| title_sort | 5g nr downlink aod based localization |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/157291 |
| work_keys_str_mv | AT liangwenfei 5gnrdownlinkaodbasedlocalization |