Error Self-Calibration Algorithm for Acoustic Vector Sensor Array
In this paper, the errors of acoustic vector sensor array are classified, the impact factor of each error for the array signal model is derived, and the influence of each type of error on the direction-of-arrival (DOA) estimation performance of the array is compared by Monte Carlo experiments. Conve...
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| Published in | Journal of sensors Vol. 2019; no. 2019; pp. 1 - 10 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Cairo, Egypt
Hindawi Publishing Corporation
2019
Hindawi John Wiley & Sons, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1687-725X 1687-7268 1687-7268 |
| DOI | 10.1155/2019/9052547 |
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| Abstract | In this paper, the errors of acoustic vector sensor array are classified, the impact factor of each error for the array signal model is derived, and the influence of each type of error on the direction-of-arrival (DOA) estimation performance of the array is compared by Monte Carlo experiments. Converting the directional error and location error to amplitude and phase errors, the optimization model and error self-calibration algorithm for acoustic vector sensor array are proposed. The simulation experiments and field experiment data processing of MEMS vector sensor array show that the proposed self-calibration algorithm has good parameter estimation performance and certain engineering practicability. |
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| AbstractList | In this paper, the errors of acoustic vector sensor array are classified, the impact factor of each error for the array signal model is derived, and the influence of each type of error on the direction-of-arrival (DOA) estimation performance of the array is compared by Monte Carlo experiments. Converting the directional error and location error to amplitude and phase errors, the optimization model and error self-calibration algorithm for acoustic vector sensor array are proposed. The simulation experiments and field experiment data processing of MEMS vector sensor array show that the proposed self-calibration algorithm has good parameter estimation performance and certain engineering practicability. |
| Author | Zhang, Mingxing Kong, Yujun Wang, P. |
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| CitedBy_id | crossref_primary_10_1155_2021_5578361 |
| Cites_doi | 10.1016/j.sigpro.2009.05.023 10.1109/8.76322 10.1109/48.838989 10.1186/1687-6180-2012-228 10.1109/7.869501 10.1109/78.317869 10.1109/78.258129 10.1016/j.sigpro.2008.04.010 10.1016/j.mejo.2007.09.008 10.1016/j.ymssp.2017.11.027 10.1109/JSEN.2008.917123 |
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| Copyright | Copyright © 2019 Peng Wang et al. Copyright © 2019 Peng Wang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0 |
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| SubjectTerms | Acoustics Algorithms Calibration Computer simulation Data processing Direction of arrival Error correction & detection Error detection Methods Microelectromechanical systems Music Optimization Parameter estimation Self calibration Sensor arrays Sensors Signal processing Velocity |
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| Title | Error Self-Calibration Algorithm for Acoustic Vector Sensor Array |
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