Scattering Centers to Point Clouds: A Review of mmWave Radars for Non-Radar-Engineers
Recently, mmWave radars have been gaining popularity, thanks to their low cost, ease of use and high-resolution sensing. In this paper, we provide a review of the mmWave radar data processing frameworks, starting from mathematical foundations to applications. Specifically, we focus on the mmWave rad...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9908570/ |
| _version_ | 1828201760949272576 |
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| author | Harry D. Mafukidze Amit K. Mishra Jan Pidanic Schonken W. P. Francois |
| author_facet | Harry D. Mafukidze Amit K. Mishra Jan Pidanic Schonken W. P. Francois |
| author_sort | Harry D. Mafukidze |
| collection | DOAJ |
| description | Recently, mmWave radars have been gaining popularity, thanks to their low cost, ease of use and high-resolution sensing. In this paper, we provide a review of the mmWave radar data processing frameworks, starting from mathematical foundations to applications. Specifically, we focus on the mmWave radar point cloud as a robust data structure representing compressed signatures for target recognition and classification. We first focus on the generation of the radar point clouds, and the signal processing algorithms designed for their unique characteristics. Then, we illustrate how the radar point clouds are prepared for feature extraction and classification using machine learning and deep learning approaches. Finally, we summarize the state-of-the-art applications, open datasets, developments and future research directions in this field. |
| first_indexed | 2024-04-12T11:35:33Z |
| format | Article |
| id | doaj.art-aac02acc0d6b4084bd985634fe43e10c |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-12T11:35:33Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-aac02acc0d6b4084bd985634fe43e10c2022-12-22T03:34:51ZengIEEEIEEE Access2169-35362022-01-011011099211102110.1109/ACCESS.2022.32116739908570Scattering Centers to Point Clouds: A Review of mmWave Radars for Non-Radar-EngineersHarry D. Mafukidze0https://orcid.org/0000-0001-8534-6139Amit K. Mishra1https://orcid.org/0000-0001-6631-1539Jan Pidanic2https://orcid.org/0000-0003-1948-3818Schonken W. P. Francois3Department of Applied Physics and Telecommunications, Faculty of Science and Technology, Midlands State University, Gweru, ZimbabweElectrical Engineering Department, University of Cape Town, Cape Town, South AfricaDepartment of Electrical Engineering, Faculty of Electrical Engineering and Informatics, University of Pardubice, Pardubice, Czech RepublicElectrical Engineering Department, University of Cape Town, Cape Town, South AfricaRecently, mmWave radars have been gaining popularity, thanks to their low cost, ease of use and high-resolution sensing. In this paper, we provide a review of the mmWave radar data processing frameworks, starting from mathematical foundations to applications. Specifically, we focus on the mmWave radar point cloud as a robust data structure representing compressed signatures for target recognition and classification. We first focus on the generation of the radar point clouds, and the signal processing algorithms designed for their unique characteristics. Then, we illustrate how the radar point clouds are prepared for feature extraction and classification using machine learning and deep learning approaches. Finally, we summarize the state-of-the-art applications, open datasets, developments and future research directions in this field.https://ieeexplore.ieee.org/document/9908570/mmWave radarsingle-chip radarradar point cloudsscattering centersCOVNETs |
| spellingShingle | Harry D. Mafukidze Amit K. Mishra Jan Pidanic Schonken W. P. Francois Scattering Centers to Point Clouds: A Review of mmWave Radars for Non-Radar-Engineers IEEE Access mmWave radar single-chip radar radar point clouds scattering centers COVNETs |
| title | Scattering Centers to Point Clouds: A Review of mmWave Radars for Non-Radar-Engineers |
| title_full | Scattering Centers to Point Clouds: A Review of mmWave Radars for Non-Radar-Engineers |
| title_fullStr | Scattering Centers to Point Clouds: A Review of mmWave Radars for Non-Radar-Engineers |
| title_full_unstemmed | Scattering Centers to Point Clouds: A Review of mmWave Radars for Non-Radar-Engineers |
| title_short | Scattering Centers to Point Clouds: A Review of mmWave Radars for Non-Radar-Engineers |
| title_sort | scattering centers to point clouds a review of mmwave radars for non radar engineers |
| topic | mmWave radar single-chip radar radar point clouds scattering centers COVNETs |
| url | https://ieeexplore.ieee.org/document/9908570/ |
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