Data Collection for Target Localization in Ocean Monitoring Radar-Communication Networks
With the ongoing changes in global climate, ocean data play a crucial role in understanding the complex variations in the earth system. These variations pose significant challenges to human efforts in addressing the changes. As a data hub for the satellite geodetic technique, unmanned aerial vehicle...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/21/5126 |
| _version_ | 1797631375322382336 |
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| author | Yuan Liu Shengjie Zhao Fengxia Han Mengqiu Chai Hao Jiang Hongming Zhang |
| author_facet | Yuan Liu Shengjie Zhao Fengxia Han Mengqiu Chai Hao Jiang Hongming Zhang |
| author_sort | Yuan Liu |
| collection | DOAJ |
| description | With the ongoing changes in global climate, ocean data play a crucial role in understanding the complex variations in the earth system. These variations pose significant challenges to human efforts in addressing the changes. As a data hub for the satellite geodetic technique, unmanned aerial vehicles (UAVs) instill new vitality into ocean data collection due to their flexibility and mobility. At the same time, the dual-functional radar-communication (DFRC) system is considered a promising technology to empower ubiquitous communication and high-accuracy localization. In this paper, we explore a new fusion of UAV and DFRC to assist data acquisition in the ocean surveillance scenario. The floating buoys transmit uplink data transmission to the UAV with non-orthogonal multiple access (NOMA) and attempt to localize the target cooperatively. With the mobility of the UAV and power control at the buoys, the system throughput and the target localization performance can be improved simultaneously. To balance the communication and sensing performance, a two-objective optimization problem is formulated by jointly optimizing the UAV’s location and buoy’s transmit power to maximize the system throughput and minimize the attainable localization mean-square error. We propose a joint communication and radar-sensing many-objective optimization (CRMOP) algorithm to meliorate the communication and radar-sensing performance simultaneously. Simulation results demonstrate that compared with the baseline, the proposed algorithm achieves superior performance in balancing the system throughput and target localization. |
| first_indexed | 2024-03-11T11:22:58Z |
| format | Article |
| id | doaj.art-fdebd997127b4bc39ec40fba1a92265c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T11:22:58Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-fdebd997127b4bc39ec40fba1a92265c2023-11-10T15:11:07ZengMDPI AGRemote Sensing2072-42922023-10-011521512610.3390/rs15215126Data Collection for Target Localization in Ocean Monitoring Radar-Communication NetworksYuan Liu0Shengjie Zhao1Fengxia Han2Mengqiu Chai3Hao Jiang4Hongming Zhang5College of Electronic and Information Engineering, Tongji University, Shanghai 201804, ChinaSchool of Software Engineering, Tongji University, Shanghai 201804, ChinaSchool of Software Engineering, Tongji University, Shanghai 201804, ChinaSchool of Software Engineering, Tongji University, Shanghai 201804, ChinaCollege of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaWith the ongoing changes in global climate, ocean data play a crucial role in understanding the complex variations in the earth system. These variations pose significant challenges to human efforts in addressing the changes. As a data hub for the satellite geodetic technique, unmanned aerial vehicles (UAVs) instill new vitality into ocean data collection due to their flexibility and mobility. At the same time, the dual-functional radar-communication (DFRC) system is considered a promising technology to empower ubiquitous communication and high-accuracy localization. In this paper, we explore a new fusion of UAV and DFRC to assist data acquisition in the ocean surveillance scenario. The floating buoys transmit uplink data transmission to the UAV with non-orthogonal multiple access (NOMA) and attempt to localize the target cooperatively. With the mobility of the UAV and power control at the buoys, the system throughput and the target localization performance can be improved simultaneously. To balance the communication and sensing performance, a two-objective optimization problem is formulated by jointly optimizing the UAV’s location and buoy’s transmit power to maximize the system throughput and minimize the attainable localization mean-square error. We propose a joint communication and radar-sensing many-objective optimization (CRMOP) algorithm to meliorate the communication and radar-sensing performance simultaneously. Simulation results demonstrate that compared with the baseline, the proposed algorithm achieves superior performance in balancing the system throughput and target localization.https://www.mdpi.com/2072-4292/15/21/5126ocean monitoringUAVDFRCmany-objective optimization |
| spellingShingle | Yuan Liu Shengjie Zhao Fengxia Han Mengqiu Chai Hao Jiang Hongming Zhang Data Collection for Target Localization in Ocean Monitoring Radar-Communication Networks Remote Sensing ocean monitoring UAV DFRC many-objective optimization |
| title | Data Collection for Target Localization in Ocean Monitoring Radar-Communication Networks |
| title_full | Data Collection for Target Localization in Ocean Monitoring Radar-Communication Networks |
| title_fullStr | Data Collection for Target Localization in Ocean Monitoring Radar-Communication Networks |
| title_full_unstemmed | Data Collection for Target Localization in Ocean Monitoring Radar-Communication Networks |
| title_short | Data Collection for Target Localization in Ocean Monitoring Radar-Communication Networks |
| title_sort | data collection for target localization in ocean monitoring radar communication networks |
| topic | ocean monitoring UAV DFRC many-objective optimization |
| url | https://www.mdpi.com/2072-4292/15/21/5126 |
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