A hybrid wavelet-wiener noise reduction algorithm for geomagnetic signals in dynamic positioning
Indoor positioning technology is a hotspot in current research, and geomagnetic combined positioning is one of the mainstream directions. Currently, indoor or underground positioning techniques are all passive positioning such as RFID, UWB, WIFI and Zigbee. All these passive position techniques are...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
|
| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016825001450 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832573204827209728 |
|---|---|
| author | Mingduo Li Jinhua Wang Liwen Guo Qinggang Meng Mengqian Li Jinliang Hou Aoze Duan Haotian Sun |
| author_facet | Mingduo Li Jinhua Wang Liwen Guo Qinggang Meng Mengqian Li Jinliang Hou Aoze Duan Haotian Sun |
| author_sort | Mingduo Li |
| collection | DOAJ |
| description | Indoor positioning technology is a hotspot in current research, and geomagnetic combined positioning is one of the mainstream directions. Currently, indoor or underground positioning techniques are all passive positioning such as RFID, UWB, WIFI and Zigbee. All these passive position techniques are dependent on network and electrical. Our research is focused on active position based on magnetic and PDR position techniques. However, in the case of dynamic walking, the measured geomagnetic data has large disturbance and noise, especially when using low-cost MEMS devices, which significantly impairs the accuracy of geomagnetic positioning. This paper presents an experimental analysis of magnetic disturbance in dynamic measurements and the derivation of the characteristics of magnetic noise during dynamic measurements. Furthermore, a hybrid wavelet-Wiener noise reduction algorithm model is constructed for such noise to improve the dynamic positioning accuracy. The experimental both in indoor corridor and underground tunnel results demonstrate that the hybrid wavelet-Wiener noise reduction algorithm has a pronounced impact on the removal of magnetic noise from dynamic measurements. In comparison to wavelet denoising, it has been observed that the relative root mean square error (RRMSE) can be reduced by 1.5 maximum and the denoising ratio (DNR) by 38 maximum. Furthermore, the geomagnetic DTW (Dynamic Time Warping) matching path value has been found to be similarly reduced from 197954 to 134734. These findings provide a theoretical basis for improving the accuracy of dynamic positioning. |
| format | Article |
| id | doaj-art-3e43bf587f254f7090e3a7878a6c70d2 |
| institution | Kabale University |
| issn | 1110-0168 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj-art-3e43bf587f254f7090e3a7878a6c70d22025-02-02T05:26:53ZengElsevierAlexandria Engineering Journal1110-01682025-04-011197384A hybrid wavelet-wiener noise reduction algorithm for geomagnetic signals in dynamic positioningMingduo Li0Jinhua Wang1Liwen Guo2Qinggang Meng3Mengqian Li4Jinliang Hou5Aoze Duan6Haotian Sun7College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, PR China; College of Electrical Engineering, North China University of Science and Technology, Tangshan 063210, PR ChinaCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, PR China; Corresponding author.College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, PR ChinaCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, PR ChinaCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, PR ChinaCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, PR ChinaCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, PR ChinaCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, PR ChinaIndoor positioning technology is a hotspot in current research, and geomagnetic combined positioning is one of the mainstream directions. Currently, indoor or underground positioning techniques are all passive positioning such as RFID, UWB, WIFI and Zigbee. All these passive position techniques are dependent on network and electrical. Our research is focused on active position based on magnetic and PDR position techniques. However, in the case of dynamic walking, the measured geomagnetic data has large disturbance and noise, especially when using low-cost MEMS devices, which significantly impairs the accuracy of geomagnetic positioning. This paper presents an experimental analysis of magnetic disturbance in dynamic measurements and the derivation of the characteristics of magnetic noise during dynamic measurements. Furthermore, a hybrid wavelet-Wiener noise reduction algorithm model is constructed for such noise to improve the dynamic positioning accuracy. The experimental both in indoor corridor and underground tunnel results demonstrate that the hybrid wavelet-Wiener noise reduction algorithm has a pronounced impact on the removal of magnetic noise from dynamic measurements. In comparison to wavelet denoising, it has been observed that the relative root mean square error (RRMSE) can be reduced by 1.5 maximum and the denoising ratio (DNR) by 38 maximum. Furthermore, the geomagnetic DTW (Dynamic Time Warping) matching path value has been found to be similarly reduced from 197954 to 134734. These findings provide a theoretical basis for improving the accuracy of dynamic positioning.http://www.sciencedirect.com/science/article/pii/S1110016825001450Geomagnetic positioningMagnetic disturbanceNoise reductionWavelet-Wiener noise reduction algorithm |
| spellingShingle | Mingduo Li Jinhua Wang Liwen Guo Qinggang Meng Mengqian Li Jinliang Hou Aoze Duan Haotian Sun A hybrid wavelet-wiener noise reduction algorithm for geomagnetic signals in dynamic positioning Alexandria Engineering Journal Geomagnetic positioning Magnetic disturbance Noise reduction Wavelet-Wiener noise reduction algorithm |
| title | A hybrid wavelet-wiener noise reduction algorithm for geomagnetic signals in dynamic positioning |
| title_full | A hybrid wavelet-wiener noise reduction algorithm for geomagnetic signals in dynamic positioning |
| title_fullStr | A hybrid wavelet-wiener noise reduction algorithm for geomagnetic signals in dynamic positioning |
| title_full_unstemmed | A hybrid wavelet-wiener noise reduction algorithm for geomagnetic signals in dynamic positioning |
| title_short | A hybrid wavelet-wiener noise reduction algorithm for geomagnetic signals in dynamic positioning |
| title_sort | hybrid wavelet wiener noise reduction algorithm for geomagnetic signals in dynamic positioning |
| topic | Geomagnetic positioning Magnetic disturbance Noise reduction Wavelet-Wiener noise reduction algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S1110016825001450 |
| work_keys_str_mv | AT mingduoli ahybridwaveletwienernoisereductionalgorithmforgeomagneticsignalsindynamicpositioning AT jinhuawang ahybridwaveletwienernoisereductionalgorithmforgeomagneticsignalsindynamicpositioning AT liwenguo ahybridwaveletwienernoisereductionalgorithmforgeomagneticsignalsindynamicpositioning AT qinggangmeng ahybridwaveletwienernoisereductionalgorithmforgeomagneticsignalsindynamicpositioning AT mengqianli ahybridwaveletwienernoisereductionalgorithmforgeomagneticsignalsindynamicpositioning AT jinlianghou ahybridwaveletwienernoisereductionalgorithmforgeomagneticsignalsindynamicpositioning AT aozeduan ahybridwaveletwienernoisereductionalgorithmforgeomagneticsignalsindynamicpositioning AT haotiansun ahybridwaveletwienernoisereductionalgorithmforgeomagneticsignalsindynamicpositioning AT mingduoli hybridwaveletwienernoisereductionalgorithmforgeomagneticsignalsindynamicpositioning AT jinhuawang hybridwaveletwienernoisereductionalgorithmforgeomagneticsignalsindynamicpositioning AT liwenguo hybridwaveletwienernoisereductionalgorithmforgeomagneticsignalsindynamicpositioning AT qinggangmeng hybridwaveletwienernoisereductionalgorithmforgeomagneticsignalsindynamicpositioning AT mengqianli hybridwaveletwienernoisereductionalgorithmforgeomagneticsignalsindynamicpositioning AT jinlianghou hybridwaveletwienernoisereductionalgorithmforgeomagneticsignalsindynamicpositioning AT aozeduan hybridwaveletwienernoisereductionalgorithmforgeomagneticsignalsindynamicpositioning AT haotiansun hybridwaveletwienernoisereductionalgorithmforgeomagneticsignalsindynamicpositioning |