A robust EM-SOCR localization method under probabilistic NLOS environments considering anchor node position uncertainties
In the field of integrated sensing and communication (ISAC), source node positioning is a key issue to achieve intelligent sensing and efficient communication. A new source node localization scene that both considers the probabilistic non-line-of-sight (NLOS) environments and anchor node position un...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/180164 |
| _version_ | 1824454094764376064 |
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| author | Zhang, Zhibo Chang, Qing Zhao, Zichu Chen, Leyan Xing, Jin |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Zhang, Zhibo Chang, Qing Zhao, Zichu Chen, Leyan Xing, Jin |
| author_sort | Zhang, Zhibo |
| collection | NTU |
| description | In the field of integrated sensing and communication (ISAC), source node positioning is a key issue to achieve intelligent sensing and efficient communication. A new source node localization scene that both considers the probabilistic non-line-of-sight (NLOS) environments and anchor node position uncertainties is introduced. Localization is realized based on the measured distances, whose noise variances are supposed to be linearly dependent on path lengths. Firstly, an expectation maximization and second-order cone relaxation (EM-SOCR) procedure is proposed to eliminate the NLOS influences, and then the source node position is estimated. Practical experiments demonstrate the effectiveness of the proposed algorithm in significantly improving positioning accuracy, achieving a 33.8% performance enhancement in the test scenario. |
| first_indexed | 2025-02-19T03:16:51Z |
| format | Journal Article |
| id | ntu-10356/180164 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:16:51Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1801642024-09-23T00:47:12Z A robust EM-SOCR localization method under probabilistic NLOS environments considering anchor node position uncertainties Zhang, Zhibo Chang, Qing Zhao, Zichu Chen, Leyan Xing, Jin School of Mechanical and Aerospace Engineering Engineering Localization Probabilistic NLOS In the field of integrated sensing and communication (ISAC), source node positioning is a key issue to achieve intelligent sensing and efficient communication. A new source node localization scene that both considers the probabilistic non-line-of-sight (NLOS) environments and anchor node position uncertainties is introduced. Localization is realized based on the measured distances, whose noise variances are supposed to be linearly dependent on path lengths. Firstly, an expectation maximization and second-order cone relaxation (EM-SOCR) procedure is proposed to eliminate the NLOS influences, and then the source node position is estimated. Practical experiments demonstrate the effectiveness of the proposed algorithm in significantly improving positioning accuracy, achieving a 33.8% performance enhancement in the test scenario. 2024-09-23T00:47:11Z 2024-09-23T00:47:11Z 2024 Journal Article Zhang, Z., Chang, Q., Zhao, Z., Chen, L. & Xing, J. (2024). A robust EM-SOCR localization method under probabilistic NLOS environments considering anchor node position uncertainties. Physical Communication, 64, 102312-. https://dx.doi.org/10.1016/j.phycom.2024.102312 1874-4907 https://hdl.handle.net/10356/180164 10.1016/j.phycom.2024.102312 2-s2.0-85185839172 64 102312 en Physical Communication © 2024 Elsevier B.V. All rights reserved. |
| spellingShingle | Engineering Localization Probabilistic NLOS Zhang, Zhibo Chang, Qing Zhao, Zichu Chen, Leyan Xing, Jin A robust EM-SOCR localization method under probabilistic NLOS environments considering anchor node position uncertainties |
| title | A robust EM-SOCR localization method under probabilistic NLOS environments considering anchor node position uncertainties |
| title_full | A robust EM-SOCR localization method under probabilistic NLOS environments considering anchor node position uncertainties |
| title_fullStr | A robust EM-SOCR localization method under probabilistic NLOS environments considering anchor node position uncertainties |
| title_full_unstemmed | A robust EM-SOCR localization method under probabilistic NLOS environments considering anchor node position uncertainties |
| title_short | A robust EM-SOCR localization method under probabilistic NLOS environments considering anchor node position uncertainties |
| title_sort | robust em socr localization method under probabilistic nlos environments considering anchor node position uncertainties |
| topic | Engineering Localization Probabilistic NLOS |
| url | https://hdl.handle.net/10356/180164 |
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