Localization of Multi-Class On-Road and Aerial Targets Using mmWave FMCW Radar
mmWave radars play a vital role in autonomous systems, such as unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), ground station control and monitoring systems. The challenging task when using mmWave radars is to estimate the accurate angle of arrival (AoA) of the targets, due to the...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/10/23/2905 |
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| author | Khushi Gupta Soumya Joshi M. B. Srinivas Srinivas Boppu M. Sabarimalai Manikandan Linga Reddy Cenkeramaddi |
| author_facet | Khushi Gupta Soumya Joshi M. B. Srinivas Srinivas Boppu M. Sabarimalai Manikandan Linga Reddy Cenkeramaddi |
| author_sort | Khushi Gupta |
| collection | DOAJ |
| description | mmWave radars play a vital role in autonomous systems, such as unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), ground station control and monitoring systems. The challenging task when using mmWave radars is to estimate the accurate angle of arrival (AoA) of the targets, due to the limited number of receivers. In this paper, we present a novel AoA estimation technique, using mmWave FMCW radars operating in the frequency range 77–81 GHz by utilizing the mechanical rotation. Rotating the radar also increases the field of view in both azimuth and elevation. The proposed method estimates the AoA of the targets, using only a single transmitter and receiver. The measurements are carried out in a variety of practical scenarios including pedestrians, a car, and an UAV, also known as a drone. With measured data, range-angle maps are created, and morphological operators are used to estimate the AoA of the targets. We also process radar range-angle images for improved visual representation. The proposed method will be extremely beneficial for practical ground stations, traffic control and monitoring frameworks for both on-ground and airborne vehicles. |
| first_indexed | 2024-03-10T04:55:33Z |
| format | Article |
| id | doaj.art-ad3d27b2c7344be6a86b24ea7edd934b |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T04:55:33Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-ad3d27b2c7344be6a86b24ea7edd934b2023-11-23T02:15:52ZengMDPI AGElectronics2079-92922021-11-011023290510.3390/electronics10232905Localization of Multi-Class On-Road and Aerial Targets Using mmWave FMCW RadarKhushi Gupta0Soumya Joshi1M. B. Srinivas2Srinivas Boppu3M. Sabarimalai Manikandan4Linga Reddy Cenkeramaddi5The ACPS Research Group, Department of Information and Communication Technology, University of Agder, 4879 Grimstad, NorwayDepartment of Electrical and Electronics Engineering, Birla Institute of Technology and Science—Pilani, Hyderabad 500078, IndiaDepartment of Electrical and Electronics Engineering, Birla Institute of Technology and Science—Pilani, Hyderabad 500078, IndiaDepartment of Electrical Sciences, Indian Institute of Technology Bhubhaneswar, Argul—Jatni Rd, Bhubhaneswar 752050, Odisha, IndiaDepartment of Electrical Sciences, Indian Institute of Technology Bhubhaneswar, Argul—Jatni Rd, Bhubhaneswar 752050, Odisha, IndiaThe ACPS Research Group, Department of Information and Communication Technology, University of Agder, 4879 Grimstad, NorwaymmWave radars play a vital role in autonomous systems, such as unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), ground station control and monitoring systems. The challenging task when using mmWave radars is to estimate the accurate angle of arrival (AoA) of the targets, due to the limited number of receivers. In this paper, we present a novel AoA estimation technique, using mmWave FMCW radars operating in the frequency range 77–81 GHz by utilizing the mechanical rotation. Rotating the radar also increases the field of view in both azimuth and elevation. The proposed method estimates the AoA of the targets, using only a single transmitter and receiver. The measurements are carried out in a variety of practical scenarios including pedestrians, a car, and an UAV, also known as a drone. With measured data, range-angle maps are created, and morphological operators are used to estimate the AoA of the targets. We also process radar range-angle images for improved visual representation. The proposed method will be extremely beneficial for practical ground stations, traffic control and monitoring frameworks for both on-ground and airborne vehicles.https://www.mdpi.com/2079-9292/10/23/2905mmWave radarFMCW radarlocalizationmulti-class targetsangle of arrival (AoA)azimuth angle |
| spellingShingle | Khushi Gupta Soumya Joshi M. B. Srinivas Srinivas Boppu M. Sabarimalai Manikandan Linga Reddy Cenkeramaddi Localization of Multi-Class On-Road and Aerial Targets Using mmWave FMCW Radar Electronics mmWave radar FMCW radar localization multi-class targets angle of arrival (AoA) azimuth angle |
| title | Localization of Multi-Class On-Road and Aerial Targets Using mmWave FMCW Radar |
| title_full | Localization of Multi-Class On-Road and Aerial Targets Using mmWave FMCW Radar |
| title_fullStr | Localization of Multi-Class On-Road and Aerial Targets Using mmWave FMCW Radar |
| title_full_unstemmed | Localization of Multi-Class On-Road and Aerial Targets Using mmWave FMCW Radar |
| title_short | Localization of Multi-Class On-Road and Aerial Targets Using mmWave FMCW Radar |
| title_sort | localization of multi class on road and aerial targets using mmwave fmcw radar |
| topic | mmWave radar FMCW radar localization multi-class targets angle of arrival (AoA) azimuth angle |
| url | https://www.mdpi.com/2079-9292/10/23/2905 |
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