Scattering Centers to Point Clouds: A Review of mmWave Radars for Non-Radar-Engineers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F22%3A39919611" target="_blank" >RIV/00216275:25530/22:39919611 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9908570" target="_blank" >https://ieeexplore.ieee.org/document/9908570</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2022.3211673" target="_blank" >10.1109/ACCESS.2022.3211673</a>
Alternative languages
Result language
angličtina
Original language name
Scattering Centers to Point Clouds: A Review of mmWave Radars for Non-Radar-Engineers
Original language 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
<a href="/en/project/LTAIN19100" target="_blank" >LTAIN19100: Smart contactless technology development for smart fencing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE ACCESS
ISSN
2169-3536
e-ISSN
2169-3536
Volume of the periodical
10
Issue of the periodical within the volume
10
Country of publishing house
US - UNITED STATES
Number of pages
30
Pages from-to
110992-111021
UT code for WoS article
000873874700001
EID of the result in the Scopus database
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