Neurodynamic robust adaptive UWB localization algorithm with NLOS mitigation
Abstract For the robust localization in mixed line-of-sight (LOS) and non-line-of-sight (NLOS) indoor environments, we proposed a max-min optimization estimator from a measurement model and introduced an adaptive loss function to optimize the estimation. However, this estimator is highly nonconvex l...
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| Language: | English |
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Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-99150-1 |
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| author | Yanxu Liu Enwen Hu Yudong Chen Changyou Guo |
| author_facet | Yanxu Liu Enwen Hu Yudong Chen Changyou Guo |
| author_sort | Yanxu Liu |
| collection | DOAJ |
| description | Abstract For the robust localization in mixed line-of-sight (LOS) and non-line-of-sight (NLOS) indoor environments, we proposed a max-min optimization estimator from a measurement model and introduced an adaptive loss function to optimize the estimation. However, this estimator is highly nonconvex leading to difficulties in solving it directly. We employed the neurodynamic to solve it. In addition, we checked the local equilibrium stability of the corresponding projective neural network model. The proposed algorithm does not require any prerequisites compared to existing algorithms, which either require knowledge of the magnitude of the NLOS bias or a priori distinction between LOS and NLOS. We proposed an adaptive distance error upper bound method to improve the accuracy of localization model. Tested in representative numerical simulation and real environments, our proposed robust adaptive positioning algorithm outperforms existing methods in terms of localization accuracy and robustness, especially in severe NLOS environments. |
| format | Article |
| id | doaj-art-e2d043418d87466d90f5b794f1432d6e |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-e2d043418d87466d90f5b794f1432d6e2025-08-20T03:13:55ZengNature PortfolioScientific Reports2045-23222025-04-0115111510.1038/s41598-025-99150-1Neurodynamic robust adaptive UWB localization algorithm with NLOS mitigationYanxu Liu0Enwen Hu1Yudong Chen2Changyou Guo3College of Computer and Information, Dezhou UniversitySchool of Electronic Engineering, Beijing University of Posts and TelecommunicationsCollege of Computer and Information, Dezhou UniversityCollege of Computer and Information, Dezhou UniversityAbstract For the robust localization in mixed line-of-sight (LOS) and non-line-of-sight (NLOS) indoor environments, we proposed a max-min optimization estimator from a measurement model and introduced an adaptive loss function to optimize the estimation. However, this estimator is highly nonconvex leading to difficulties in solving it directly. We employed the neurodynamic to solve it. In addition, we checked the local equilibrium stability of the corresponding projective neural network model. The proposed algorithm does not require any prerequisites compared to existing algorithms, which either require knowledge of the magnitude of the NLOS bias or a priori distinction between LOS and NLOS. We proposed an adaptive distance error upper bound method to improve the accuracy of localization model. Tested in representative numerical simulation and real environments, our proposed robust adaptive positioning algorithm outperforms existing methods in terms of localization accuracy and robustness, especially in severe NLOS environments.https://doi.org/10.1038/s41598-025-99150-1NLOS mitigationRobust localizationNeurodynamicProjective neural networkUWB positioning |
| spellingShingle | Yanxu Liu Enwen Hu Yudong Chen Changyou Guo Neurodynamic robust adaptive UWB localization algorithm with NLOS mitigation Scientific Reports NLOS mitigation Robust localization Neurodynamic Projective neural network UWB positioning |
| title | Neurodynamic robust adaptive UWB localization algorithm with NLOS mitigation |
| title_full | Neurodynamic robust adaptive UWB localization algorithm with NLOS mitigation |
| title_fullStr | Neurodynamic robust adaptive UWB localization algorithm with NLOS mitigation |
| title_full_unstemmed | Neurodynamic robust adaptive UWB localization algorithm with NLOS mitigation |
| title_short | Neurodynamic robust adaptive UWB localization algorithm with NLOS mitigation |
| title_sort | neurodynamic robust adaptive uwb localization algorithm with nlos mitigation |
| topic | NLOS mitigation Robust localization Neurodynamic Projective neural network UWB positioning |
| url | https://doi.org/10.1038/s41598-025-99150-1 |
| work_keys_str_mv | AT yanxuliu neurodynamicrobustadaptiveuwblocalizationalgorithmwithnlosmitigation AT enwenhu neurodynamicrobustadaptiveuwblocalizationalgorithmwithnlosmitigation AT yudongchen neurodynamicrobustadaptiveuwblocalizationalgorithmwithnlosmitigation AT changyouguo neurodynamicrobustadaptiveuwblocalizationalgorithmwithnlosmitigation |