Microphone Based Acoustic Vector Sensor for Direction Finding with Bias Removal
The acoustic vector sensor (AVS) is used to measure the acoustic intensity, which gives the direction-ofarrival (DOA) of an acoustic source. However, while estimating the DOA from the measured acoustic intensity the finite microphone separation (d) in a practical AVS causes angular bias. Also, in th...
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| Format: | Article |
| Language: | English |
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Institute of Fundamental Technological Research
2022-06-01
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| Series: | Archives of Acoustics |
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| Online Access: | https://journals.pan.pl/Content/123485/PDF/aoa.2022.141646.pdf |
| _version_ | 1797869268640989184 |
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| author | Mohd Wajid Arun Kumar Rajendar Bahl |
| author_facet | Mohd Wajid Arun Kumar Rajendar Bahl |
| author_sort | Mohd Wajid |
| collection | DOAJ |
| description | The acoustic vector sensor (AVS) is used to measure the acoustic intensity, which gives the direction-ofarrival (DOA) of an acoustic source. However, while estimating the DOA from the measured acoustic intensity the finite microphone separation (d) in a practical AVS causes angular bias. Also, in the presence of noise there exists a trade off between the bias (strictly increasing function of d) and variance (strictly decreasing function of d) of the DOA estimate. In this paper, we propose a novel method for mitigating the angular bias caused due to finite microphone separation in an AVS. We have reduced the variance by increasing the microphone separation and then removed the bias with the proposed bias model. Our approach employs the finite element method (FEM) and curves fitting to model the angular bias in terms of microphone separations and frequency of a narrowband signal. Further, the bias correction algorithm based on the intensity spectrum has been proposed to improve the DOA estimation accuracy of a broadband signal. Simulation results demonstrate that the proposed bias correction scheme significantly reduces the angular bias and improves the root mean square angular error (RMSAE) in the presence of noise. Experiments have been performed in an acoustic full anechoic room to corroborate the effect of microphone separation on DOA estimation and the efficacy of the bias correction method. |
| first_indexed | 2024-04-10T00:08:51Z |
| format | Article |
| id | doaj.art-6df57865ada44664abfca3c74b795b02 |
| institution | Directory Open Access Journal |
| issn | 0137-5075 2300-262X |
| language | English |
| last_indexed | 2024-04-10T00:08:51Z |
| publishDate | 2022-06-01 |
| publisher | Institute of Fundamental Technological Research |
| record_format | Article |
| series | Archives of Acoustics |
| spelling | doaj.art-6df57865ada44664abfca3c74b795b022023-03-16T12:11:36ZengInstitute of Fundamental Technological ResearchArchives of Acoustics0137-50752300-262X2022-06-01vol. 47No 2151167https://doi.org/10.24425/aoa.2022.141646Microphone Based Acoustic Vector Sensor for Direction Finding with Bias RemovalMohd Wajid0Arun Kumar1Rajendar Bahl2Department of Electronics Engineering, Z.H.C.E.T., Aligarh Muslim Univesity, Aligarh, IndiaCentre for Applied Research in Electronics, Indian Institute of Technology Delhi, New Delhi, IndiaCentre for Applied Research in Electronics, Indian Institute of Technology Delhi, New Delhi, IndiaThe acoustic vector sensor (AVS) is used to measure the acoustic intensity, which gives the direction-ofarrival (DOA) of an acoustic source. However, while estimating the DOA from the measured acoustic intensity the finite microphone separation (d) in a practical AVS causes angular bias. Also, in the presence of noise there exists a trade off between the bias (strictly increasing function of d) and variance (strictly decreasing function of d) of the DOA estimate. In this paper, we propose a novel method for mitigating the angular bias caused due to finite microphone separation in an AVS. We have reduced the variance by increasing the microphone separation and then removed the bias with the proposed bias model. Our approach employs the finite element method (FEM) and curves fitting to model the angular bias in terms of microphone separations and frequency of a narrowband signal. Further, the bias correction algorithm based on the intensity spectrum has been proposed to improve the DOA estimation accuracy of a broadband signal. Simulation results demonstrate that the proposed bias correction scheme significantly reduces the angular bias and improves the root mean square angular error (RMSAE) in the presence of noise. Experiments have been performed in an acoustic full anechoic room to corroborate the effect of microphone separation on DOA estimation and the efficacy of the bias correction method.https://journals.pan.pl/Content/123485/PDF/aoa.2022.141646.pdfacoustic measurementsacoustic sensoracoustic vector sensordirection-of-arrival estimationfinite element analysismicrophonesparticle velocitysound source localization |
| spellingShingle | Mohd Wajid Arun Kumar Rajendar Bahl Microphone Based Acoustic Vector Sensor for Direction Finding with Bias Removal Archives of Acoustics acoustic measurements acoustic sensor acoustic vector sensor direction-of-arrival estimation finite element analysis microphones particle velocity sound source localization |
| title | Microphone Based Acoustic Vector Sensor for Direction Finding with Bias Removal |
| title_full | Microphone Based Acoustic Vector Sensor for Direction Finding with Bias Removal |
| title_fullStr | Microphone Based Acoustic Vector Sensor for Direction Finding with Bias Removal |
| title_full_unstemmed | Microphone Based Acoustic Vector Sensor for Direction Finding with Bias Removal |
| title_short | Microphone Based Acoustic Vector Sensor for Direction Finding with Bias Removal |
| title_sort | microphone based acoustic vector sensor for direction finding with bias removal |
| topic | acoustic measurements acoustic sensor acoustic vector sensor direction-of-arrival estimation finite element analysis microphones particle velocity sound source localization |
| url | https://journals.pan.pl/Content/123485/PDF/aoa.2022.141646.pdf |
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