Reconstruction of Aircraft Engine Noise Source using Beamforming and Compressive Sensing
A novel signal processing approach is proposed for sensor arrays to reconstruct spinning modal noise source from scattered sound wave measurements outside the jet flow downstream of an unflanged duct. The approach relies on the forward propagation model based on the Wiener-Hopf method and the key co...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8279443/ |
| _version_ | 1818412077645037568 |
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| author | Wenjun Yu Xun Huang |
| author_facet | Wenjun Yu Xun Huang |
| author_sort | Wenjun Yu |
| collection | DOAJ |
| description | A novel signal processing approach is proposed for sensor arrays to reconstruct spinning modal noise source from scattered sound wave measurements outside the jet flow downstream of an unflanged duct. The approach relies on the forward propagation model based on the Wiener-Hopf method and the key contribution is the development of the inverse acoustic scattering approach for a sensor array by combining compressive sensing and beamforming strategies in a non-classical way. In particular, the beamforming and compressive sensing methods are considered to improve the performance of the inverse reconstruction, especially in terms of array imagining resolutions and the number of sensors. Finally, numerical examples are prepared to demonstrate the performance of the proposed approach and the results show that the classicalbeamforming-based method is more robust for numerical noise while the compressive-sensing-based method is more efficient. Overall, the proposed testing approach should be able to extensively expand the current acoustic array testing capability and will be especially useful for aerospace engineering applications, such as the design and evaluation of low-noise aircraft engines. |
| first_indexed | 2024-12-14T10:41:35Z |
| format | Article |
| id | doaj.art-41124f0c1d944db7abcb165dddd779db |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T10:41:35Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-41124f0c1d944db7abcb165dddd779db2022-12-21T23:05:40ZengIEEEIEEE Access2169-35362018-01-016117161172610.1109/ACCESS.2018.28012608279443Reconstruction of Aircraft Engine Noise Source using Beamforming and Compressive SensingWenjun Yu0Xun Huang1https://orcid.org/0000-0001-9441-1473Department of Aeronautics and Astronautics, College of Engineering, State Key Laboratory of Turbulence and Complex System, Peking University, Beijing, ChinaDepartment of Aeronautics and Astronautics, College of Engineering, State Key Laboratory of Turbulence and Complex System, Peking University, Beijing, ChinaA novel signal processing approach is proposed for sensor arrays to reconstruct spinning modal noise source from scattered sound wave measurements outside the jet flow downstream of an unflanged duct. The approach relies on the forward propagation model based on the Wiener-Hopf method and the key contribution is the development of the inverse acoustic scattering approach for a sensor array by combining compressive sensing and beamforming strategies in a non-classical way. In particular, the beamforming and compressive sensing methods are considered to improve the performance of the inverse reconstruction, especially in terms of array imagining resolutions and the number of sensors. Finally, numerical examples are prepared to demonstrate the performance of the proposed approach and the results show that the classicalbeamforming-based method is more robust for numerical noise while the compressive-sensing-based method is more efficient. Overall, the proposed testing approach should be able to extensively expand the current acoustic array testing capability and will be especially useful for aerospace engineering applications, such as the design and evaluation of low-noise aircraft engines.https://ieeexplore.ieee.org/document/8279443/Beamformingcompressive sensinginverse methodsensor arrayWiener-Hopf |
| spellingShingle | Wenjun Yu Xun Huang Reconstruction of Aircraft Engine Noise Source using Beamforming and Compressive Sensing IEEE Access Beamforming compressive sensing inverse method sensor array Wiener-Hopf |
| title | Reconstruction of Aircraft Engine Noise Source using Beamforming and Compressive Sensing |
| title_full | Reconstruction of Aircraft Engine Noise Source using Beamforming and Compressive Sensing |
| title_fullStr | Reconstruction of Aircraft Engine Noise Source using Beamforming and Compressive Sensing |
| title_full_unstemmed | Reconstruction of Aircraft Engine Noise Source using Beamforming and Compressive Sensing |
| title_short | Reconstruction of Aircraft Engine Noise Source using Beamforming and Compressive Sensing |
| title_sort | reconstruction of aircraft engine noise source using beamforming and compressive sensing |
| topic | Beamforming compressive sensing inverse method sensor array Wiener-Hopf |
| url | https://ieeexplore.ieee.org/document/8279443/ |
| work_keys_str_mv | AT wenjunyu reconstructionofaircraftenginenoisesourceusingbeamformingandcompressivesensing AT xunhuang reconstructionofaircraftenginenoisesourceusingbeamformingandcompressivesensing |