Cable External Breakage Source Localization Method Based on Improved Generalized Cross-Correlation Phase Transform with Multi-Sensor Fusion
In response to the need for cable outer sound source localization, this paper proposes a collaborative localization method based on an improved generalized cross-correlation phase transform (GCC-PHAT) and multi-sensor fusion. By constructing a secondary cross-shaped sensor array model, employing a p...
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MDPI AG
2025-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/10/2628 |
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| author | Xuwen Wang Jiang Li |
| author_facet | Xuwen Wang Jiang Li |
| author_sort | Xuwen Wang |
| collection | DOAJ |
| description | In response to the need for cable outer sound source localization, this paper proposes a collaborative localization method based on an improved generalized cross-correlation phase transform (GCC-PHAT) and multi-sensor fusion. By constructing a secondary cross-shaped sensor array model, employing a phase transform weighting function to suppress environmental noise, and incorporating an adaptive environmental compensation algorithm to eliminate multipath effects, a set of spatial localization equations is established. Innovatively, a dynamic weighting factor linked to the startup threshold is introduced; the Levenberg–Marquardt optimization algorithm is then used to iteratively solve the nonlinear equations to achieve preliminary localization in a single-pile coordinate system. Finally, a dynamic weighted fusion model is constructed through DBSCAN spatial clustering to determine the final sound source position. Experimental results demonstrate that this method reduces the mean square error of time delay estimation by 94.7% in a 90 dB industrial noise environment, decreases the localization error by 65.4% in multi-obstacle scenarios, and ultimately maintains localization accuracy within 3 m over a range of 100 m. This performance is significantly superior to that of traditional TDOA and SRP-PHAT methods, offering a high-precision localization solution for underground cable protection. |
| format | Article |
| id | doaj-art-c08d61ef7bd84b38b62d9c3a24d80585 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-c08d61ef7bd84b38b62d9c3a24d805852025-08-20T03:47:53ZengMDPI AGEnergies1996-10732025-05-011810262810.3390/en18102628Cable External Breakage Source Localization Method Based on Improved Generalized Cross-Correlation Phase Transform with Multi-Sensor FusionXuwen Wang0Jiang Li1College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, ChinaCollege of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, ChinaIn response to the need for cable outer sound source localization, this paper proposes a collaborative localization method based on an improved generalized cross-correlation phase transform (GCC-PHAT) and multi-sensor fusion. By constructing a secondary cross-shaped sensor array model, employing a phase transform weighting function to suppress environmental noise, and incorporating an adaptive environmental compensation algorithm to eliminate multipath effects, a set of spatial localization equations is established. Innovatively, a dynamic weighting factor linked to the startup threshold is introduced; the Levenberg–Marquardt optimization algorithm is then used to iteratively solve the nonlinear equations to achieve preliminary localization in a single-pile coordinate system. Finally, a dynamic weighted fusion model is constructed through DBSCAN spatial clustering to determine the final sound source position. Experimental results demonstrate that this method reduces the mean square error of time delay estimation by 94.7% in a 90 dB industrial noise environment, decreases the localization error by 65.4% in multi-obstacle scenarios, and ultimately maintains localization accuracy within 3 m over a range of 100 m. This performance is significantly superior to that of traditional TDOA and SRP-PHAT methods, offering a high-precision localization solution for underground cable protection.https://www.mdpi.com/1996-1073/18/10/2628cable outbreakcable marking stakessound source localizationGCC-PHAT algorithmdynamic weightingmulti-sensor fusion |
| spellingShingle | Xuwen Wang Jiang Li Cable External Breakage Source Localization Method Based on Improved Generalized Cross-Correlation Phase Transform with Multi-Sensor Fusion Energies cable outbreak cable marking stakes sound source localization GCC-PHAT algorithm dynamic weighting multi-sensor fusion |
| title | Cable External Breakage Source Localization Method Based on Improved Generalized Cross-Correlation Phase Transform with Multi-Sensor Fusion |
| title_full | Cable External Breakage Source Localization Method Based on Improved Generalized Cross-Correlation Phase Transform with Multi-Sensor Fusion |
| title_fullStr | Cable External Breakage Source Localization Method Based on Improved Generalized Cross-Correlation Phase Transform with Multi-Sensor Fusion |
| title_full_unstemmed | Cable External Breakage Source Localization Method Based on Improved Generalized Cross-Correlation Phase Transform with Multi-Sensor Fusion |
| title_short | Cable External Breakage Source Localization Method Based on Improved Generalized Cross-Correlation Phase Transform with Multi-Sensor Fusion |
| title_sort | cable external breakage source localization method based on improved generalized cross correlation phase transform with multi sensor fusion |
| topic | cable outbreak cable marking stakes sound source localization GCC-PHAT algorithm dynamic weighting multi-sensor fusion |
| url | https://www.mdpi.com/1996-1073/18/10/2628 |
| work_keys_str_mv | AT xuwenwang cableexternalbreakagesourcelocalizationmethodbasedonimprovedgeneralizedcrosscorrelationphasetransformwithmultisensorfusion AT jiangli cableexternalbreakagesourcelocalizationmethodbasedonimprovedgeneralizedcrosscorrelationphasetransformwithmultisensorfusion |