A decoupled approach for near-field source localization using a single acoustic vector sensor
This paper considers the problem of three-dimensional (3-D, azimuth, elevation, and range) localization of a single source in the near-field using a single acoustic vector sensor (AVS). The existing multiple signal classification (MUSIC) or maximum likelihood estimation (MLE) methods, which require...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/106676 http://hdl.handle.net/10220/16641 |
| _version_ | 1826112273066754048 |
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| author | Hari, V. N. Premkumar, A. B. Zhong, X. |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Hari, V. N. Premkumar, A. B. Zhong, X. |
| author_sort | Hari, V. N. |
| collection | NTU |
| description | This paper considers the problem of three-dimensional (3-D, azimuth, elevation, and range) localization of a single source in the near-field using a single acoustic vector sensor (AVS). The existing multiple signal classification (MUSIC) or maximum likelihood estimation (MLE) methods, which require a 3-D search over the location parameter space, are computationally very expensive. A computationally simple method previously developed by Wu and Wong (IEEE Trans. Aerosp. Electron. Syst. 48(1):159–169, 2012), which we refer to as Eigen-value decomposition and Received Signal strength Indicator-based method (Eigen-RSSI), was able to estimate 3-D location parameters of a single source efficiently. However, it can only be applied to an extended AVS which consists of a pressure sensor separated from the velocity sensors by a certain distance. In this paper, we propose a uni-AVS MUSIC (U-MUSIC) approach for 3-D location parameter estimation based on a compact AVS structure. We decouple the 3-D localization problem into step-by-step estimation of azimuth, elevation, and range and derive closed-form solutions for these parameter estimates by which a complex 3-D search for the parameters can be avoided. We show that the proposed approach outperforms the existing Eigen-RSSI method when the sensor system is required to be mounted in a confined space. |
| first_indexed | 2024-10-01T03:04:17Z |
| format | Journal Article |
| id | ntu-10356/106676 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:04:17Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/1066762020-05-28T07:17:28Z A decoupled approach for near-field source localization using a single acoustic vector sensor Hari, V. N. Premkumar, A. B. Zhong, X. School of Computer Engineering DRNTU::Engineering::Computer science and engineering This paper considers the problem of three-dimensional (3-D, azimuth, elevation, and range) localization of a single source in the near-field using a single acoustic vector sensor (AVS). The existing multiple signal classification (MUSIC) or maximum likelihood estimation (MLE) methods, which require a 3-D search over the location parameter space, are computationally very expensive. A computationally simple method previously developed by Wu and Wong (IEEE Trans. Aerosp. Electron. Syst. 48(1):159–169, 2012), which we refer to as Eigen-value decomposition and Received Signal strength Indicator-based method (Eigen-RSSI), was able to estimate 3-D location parameters of a single source efficiently. However, it can only be applied to an extended AVS which consists of a pressure sensor separated from the velocity sensors by a certain distance. In this paper, we propose a uni-AVS MUSIC (U-MUSIC) approach for 3-D location parameter estimation based on a compact AVS structure. We decouple the 3-D localization problem into step-by-step estimation of azimuth, elevation, and range and derive closed-form solutions for these parameter estimates by which a complex 3-D search for the parameters can be avoided. We show that the proposed approach outperforms the existing Eigen-RSSI method when the sensor system is required to be mounted in a confined space. 2013-10-21T03:37:14Z 2019-12-06T22:16:03Z 2013-10-21T03:37:14Z 2019-12-06T22:16:03Z 2012 2012 Journal Article Hari, V. N., Premkumar, A. B., & Zhong, X. (2013). A Decoupled Approach for Near-Field Source Localization Using a Single Acoustic Vector Sensor. Circuits, Systems, and Signal Processing, 32(2), 843-859. https://hdl.handle.net/10356/106676 http://hdl.handle.net/10220/16641 10.1007/s00034-012-9508-9 en Circuits, systems, and signal processing |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Hari, V. N. Premkumar, A. B. Zhong, X. A decoupled approach for near-field source localization using a single acoustic vector sensor |
| title | A decoupled approach for near-field source localization using a single acoustic vector sensor |
| title_full | A decoupled approach for near-field source localization using a single acoustic vector sensor |
| title_fullStr | A decoupled approach for near-field source localization using a single acoustic vector sensor |
| title_full_unstemmed | A decoupled approach for near-field source localization using a single acoustic vector sensor |
| title_short | A decoupled approach for near-field source localization using a single acoustic vector sensor |
| title_sort | decoupled approach for near field source localization using a single acoustic vector sensor |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/106676 http://hdl.handle.net/10220/16641 |
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