Incident Signal Power Comparison for Localization of Concurrent Multiple Acoustic Sources
In this paper, a method to solve the localization of concurrent multiple acoustic sources in large open spaces is presented. The problem of the multisource localization in far-field conditions is to correctly associate the direction of arrival (DOA) estimated by a network array system to the same so...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/582397 |
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| author | Daniele Salvati Sergio Canazza |
| author_facet | Daniele Salvati Sergio Canazza |
| author_sort | Daniele Salvati |
| collection | DOAJ |
| description | In this paper, a method to solve the localization of concurrent multiple acoustic sources in large open spaces is presented. The problem of the multisource localization in far-field conditions is to correctly associate the direction of arrival (DOA) estimated by a network array system to the same source. The use of systems implementing a Bayesian filter is a traditional approach to address the problem of localization in multisource acoustic scenario. However, in a real noisy open space the acoustic sources are often discontinuous with numerous short-duration events and thus the filtering methods may have difficulty to track the multiple sources. Incident signal power comparison (ISPC) is proposed to compute DOAs association. ISPC is based on identifying the incident signal power (ISP) of the sources on a microphone array using beamforming methods and comparing the ISP between different arrays using spectral distance (SD) measurement techniques. This method solves the ambiguities, due to the presence of simultaneous sources, by identifying sounds through a minimization of an error criterion on SD measures of DOA combinations. The experimental results were conducted in an outdoor real noisy environment and the ISPC performance is reported using different beamforming techniques and SD functions. |
| format | Article |
| id | doaj-art-6acf1fd8a6b843cb82be7b63cc7dc15a |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-6acf1fd8a6b843cb82be7b63cc7dc15a2025-08-20T03:33:39ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/582397582397Incident Signal Power Comparison for Localization of Concurrent Multiple Acoustic SourcesDaniele Salvati0Sergio Canazza1Department of Mathematics and Computer Science, University of Udine, 33100 Udine, ItalyDepartment of Information Engineering, University of Padova, 35131 Padova, ItalyIn this paper, a method to solve the localization of concurrent multiple acoustic sources in large open spaces is presented. The problem of the multisource localization in far-field conditions is to correctly associate the direction of arrival (DOA) estimated by a network array system to the same source. The use of systems implementing a Bayesian filter is a traditional approach to address the problem of localization in multisource acoustic scenario. However, in a real noisy open space the acoustic sources are often discontinuous with numerous short-duration events and thus the filtering methods may have difficulty to track the multiple sources. Incident signal power comparison (ISPC) is proposed to compute DOAs association. ISPC is based on identifying the incident signal power (ISP) of the sources on a microphone array using beamforming methods and comparing the ISP between different arrays using spectral distance (SD) measurement techniques. This method solves the ambiguities, due to the presence of simultaneous sources, by identifying sounds through a minimization of an error criterion on SD measures of DOA combinations. The experimental results were conducted in an outdoor real noisy environment and the ISPC performance is reported using different beamforming techniques and SD functions.http://dx.doi.org/10.1155/2014/582397 |
| spellingShingle | Daniele Salvati Sergio Canazza Incident Signal Power Comparison for Localization of Concurrent Multiple Acoustic Sources The Scientific World Journal |
| title | Incident Signal Power Comparison for Localization of Concurrent Multiple Acoustic Sources |
| title_full | Incident Signal Power Comparison for Localization of Concurrent Multiple Acoustic Sources |
| title_fullStr | Incident Signal Power Comparison for Localization of Concurrent Multiple Acoustic Sources |
| title_full_unstemmed | Incident Signal Power Comparison for Localization of Concurrent Multiple Acoustic Sources |
| title_short | Incident Signal Power Comparison for Localization of Concurrent Multiple Acoustic Sources |
| title_sort | incident signal power comparison for localization of concurrent multiple acoustic sources |
| url | http://dx.doi.org/10.1155/2014/582397 |
| work_keys_str_mv | AT danielesalvati incidentsignalpowercomparisonforlocalizationofconcurrentmultipleacousticsources AT sergiocanazza incidentsignalpowercomparisonforlocalizationofconcurrentmultipleacousticsources |