Source Localization in Acoustic Sensor Networks via Constrained Least-Squares Optimization Using AOA and GROA Measurements
A constrained least-squares (CLS) 3D source localization method is presented for acoustic sensor networks with sensor position errors. The proposed approach uses angles of arrivals (AOAs) and gain ratios of arrival (GROAs) measured simultaneously at each node to estimate the source position jointly....
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-03-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/18/4/937 |
| _version_ | 1811297908973109248 |
|---|---|
| author | Ji-An Luo Si-Wei Pan Dong-Liang Peng Zhi Wang Yan-Jun Li |
| author_facet | Ji-An Luo Si-Wei Pan Dong-Liang Peng Zhi Wang Yan-Jun Li |
| author_sort | Ji-An Luo |
| collection | DOAJ |
| description | A constrained least-squares (CLS) 3D source localization method is presented for acoustic sensor networks with sensor position errors. The proposed approach uses angles of arrivals (AOAs) and gain ratios of arrival (GROAs) measured simultaneously at each node to estimate the source position jointly. Compared to AOA-only localization methods, the GROAs can be used in conjunction with AOA measurements so as to get more accurate results by exploiting the geometrical relationship between these two measurements. Compared to time difference of arrival localization methods, the proposed algorithm does not require accurate time synchronization over different nodes. The theoretical mean-square error matrices of the proposed approach are derived and they are exactly equal to the Cramér–Rao bound for Gaussian noise under the small error condition. Simulations validate the performance of the proposed estimator. |
| first_indexed | 2024-04-13T06:12:07Z |
| format | Article |
| id | doaj.art-e41b2871d4374d7a913e1f079c1bf061 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T06:12:07Z |
| publishDate | 2018-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-e41b2871d4374d7a913e1f079c1bf0612022-12-22T02:59:01ZengMDPI AGSensors1424-82202018-03-0118493710.3390/s18040937s18040937Source Localization in Acoustic Sensor Networks via Constrained Least-Squares Optimization Using AOA and GROA MeasurementsJi-An Luo0Si-Wei Pan1Dong-Liang Peng2Zhi Wang3Yan-Jun Li4Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Hangzhou 310018, ChinaKey Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Hangzhou 310018, ChinaKey Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Hangzhou 310018, ChinaThe State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, ChinaSchool of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, ChinaA constrained least-squares (CLS) 3D source localization method is presented for acoustic sensor networks with sensor position errors. The proposed approach uses angles of arrivals (AOAs) and gain ratios of arrival (GROAs) measured simultaneously at each node to estimate the source position jointly. Compared to AOA-only localization methods, the GROAs can be used in conjunction with AOA measurements so as to get more accurate results by exploiting the geometrical relationship between these two measurements. Compared to time difference of arrival localization methods, the proposed algorithm does not require accurate time synchronization over different nodes. The theoretical mean-square error matrices of the proposed approach are derived and they are exactly equal to the Cramér–Rao bound for Gaussian noise under the small error condition. Simulations validate the performance of the proposed estimator.http://www.mdpi.com/1424-8220/18/4/937wireless sensor networkssource localizationsensor position uncertaintyangle of arrivalgain ratio of arrival |
| spellingShingle | Ji-An Luo Si-Wei Pan Dong-Liang Peng Zhi Wang Yan-Jun Li Source Localization in Acoustic Sensor Networks via Constrained Least-Squares Optimization Using AOA and GROA Measurements Sensors wireless sensor networks source localization sensor position uncertainty angle of arrival gain ratio of arrival |
| title | Source Localization in Acoustic Sensor Networks via Constrained Least-Squares Optimization Using AOA and GROA Measurements |
| title_full | Source Localization in Acoustic Sensor Networks via Constrained Least-Squares Optimization Using AOA and GROA Measurements |
| title_fullStr | Source Localization in Acoustic Sensor Networks via Constrained Least-Squares Optimization Using AOA and GROA Measurements |
| title_full_unstemmed | Source Localization in Acoustic Sensor Networks via Constrained Least-Squares Optimization Using AOA and GROA Measurements |
| title_short | Source Localization in Acoustic Sensor Networks via Constrained Least-Squares Optimization Using AOA and GROA Measurements |
| title_sort | source localization in acoustic sensor networks via constrained least squares optimization using aoa and groa measurements |
| topic | wireless sensor networks source localization sensor position uncertainty angle of arrival gain ratio of arrival |
| url | http://www.mdpi.com/1424-8220/18/4/937 |
| work_keys_str_mv | AT jianluo sourcelocalizationinacousticsensornetworksviaconstrainedleastsquaresoptimizationusingaoaandgroameasurements AT siweipan sourcelocalizationinacousticsensornetworksviaconstrainedleastsquaresoptimizationusingaoaandgroameasurements AT dongliangpeng sourcelocalizationinacousticsensornetworksviaconstrainedleastsquaresoptimizationusingaoaandgroameasurements AT zhiwang sourcelocalizationinacousticsensornetworksviaconstrainedleastsquaresoptimizationusingaoaandgroameasurements AT yanjunli sourcelocalizationinacousticsensornetworksviaconstrainedleastsquaresoptimizationusingaoaandgroameasurements |