Sensor Selection for Optimal Target localization with 3-D Angle of Arrival Estimation in Underwater Wireless Sensor Networks
This paper investigates a sensor selection scheme for optimal target localization with three-dimensional (3-D) Angle of Arrival (AOA) estimation in Underwater Wireless Sensor Networks (UWSN). Specifically, we present a new 3-D AOA-based localization measurement model, which considers correlated nois...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/10/2/245 |
| _version_ | 1827654371269148672 |
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| author | Rongyan Zhou Jianfeng Chen Weijie Tan Chang Cai |
| author_facet | Rongyan Zhou Jianfeng Chen Weijie Tan Chang Cai |
| author_sort | Rongyan Zhou |
| collection | DOAJ |
| description | This paper investigates a sensor selection scheme for optimal target localization with three-dimensional (3-D) Angle of Arrival (AOA) estimation in Underwater Wireless Sensor Networks (UWSN). Specifically, we present a new 3-D AOA-based localization measurement model, which considers correlated noises and Gaussian priors. The trace of Cramer–Rao lower bound (CRLB) for the 3-D AOA measurement model is derived by introducing a special vector to denote the selected sensors with the azimuth and elevation angle measurements. Based on the presenting expressions of the CRLB, we formulate the sensor selection problem as an optimization problem, which has been transformed into the semidefinite problem program by convex relaxation, and a randomization method is adopted to improve the quality of the SDP solution. Simulation results illustrate that the proposed method receives better estimation performance over the reference methods and approaches the exhaustive search method. |
| first_indexed | 2024-03-09T21:39:14Z |
| format | Article |
| id | doaj.art-7dada61badf04265bf3f8256b2549dab |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-09T21:39:14Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-7dada61badf04265bf3f8256b2549dab2023-11-23T20:35:51ZengMDPI AGJournal of Marine Science and Engineering2077-13122022-02-0110224510.3390/jmse10020245Sensor Selection for Optimal Target localization with 3-D Angle of Arrival Estimation in Underwater Wireless Sensor NetworksRongyan Zhou0Jianfeng Chen1Weijie Tan2Chang Cai3School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaState Key Laboratory of Public Big Data, Guizhou Big Data Academy, Guizhou University, Guiyang 550025, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaThis paper investigates a sensor selection scheme for optimal target localization with three-dimensional (3-D) Angle of Arrival (AOA) estimation in Underwater Wireless Sensor Networks (UWSN). Specifically, we present a new 3-D AOA-based localization measurement model, which considers correlated noises and Gaussian priors. The trace of Cramer–Rao lower bound (CRLB) for the 3-D AOA measurement model is derived by introducing a special vector to denote the selected sensors with the azimuth and elevation angle measurements. Based on the presenting expressions of the CRLB, we formulate the sensor selection problem as an optimization problem, which has been transformed into the semidefinite problem program by convex relaxation, and a randomization method is adopted to improve the quality of the SDP solution. Simulation results illustrate that the proposed method receives better estimation performance over the reference methods and approaches the exhaustive search method.https://www.mdpi.com/2077-1312/10/2/245sensor selection3D angle of arrival localizationCramer–Rao lower bound (CRLB)semidefinite program (SDP)correlated noises |
| spellingShingle | Rongyan Zhou Jianfeng Chen Weijie Tan Chang Cai Sensor Selection for Optimal Target localization with 3-D Angle of Arrival Estimation in Underwater Wireless Sensor Networks Journal of Marine Science and Engineering sensor selection 3D angle of arrival localization Cramer–Rao lower bound (CRLB) semidefinite program (SDP) correlated noises |
| title | Sensor Selection for Optimal Target localization with 3-D Angle of Arrival Estimation in Underwater Wireless Sensor Networks |
| title_full | Sensor Selection for Optimal Target localization with 3-D Angle of Arrival Estimation in Underwater Wireless Sensor Networks |
| title_fullStr | Sensor Selection for Optimal Target localization with 3-D Angle of Arrival Estimation in Underwater Wireless Sensor Networks |
| title_full_unstemmed | Sensor Selection for Optimal Target localization with 3-D Angle of Arrival Estimation in Underwater Wireless Sensor Networks |
| title_short | Sensor Selection for Optimal Target localization with 3-D Angle of Arrival Estimation in Underwater Wireless Sensor Networks |
| title_sort | sensor selection for optimal target localization with 3 d angle of arrival estimation in underwater wireless sensor networks |
| topic | sensor selection 3D angle of arrival localization Cramer–Rao lower bound (CRLB) semidefinite program (SDP) correlated noises |
| url | https://www.mdpi.com/2077-1312/10/2/245 |
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