Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks
December 26, 2020 ยท The Cartographer ยท ๐ IEEE Sensors Journal
"No code URL or promise found in abstract"
"Title-pattern auto-detect: Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks"
Evidence collected by the PWNC Scanner
Authors
Bram van Berlo, Amany Elkelany, Tanir Ozcelebi, Nirvana Meratnia
arXiv ID
2012.13664
Category
eess.SP: Signal Processing
Cross-listed
cs.AI,
cs.LG
Citations
56
Venue
IEEE Sensors Journal
Last Checked
1 day ago
Abstract
The increasing bandwidth requirement of new wireless applications has lead to standardization of the millimeter wave spectrum for high-speed wireless communication. The millimeter wave spectrum is part of 5G and covers frequencies between 30 and 300 GHz corresponding to wavelengths ranging from 10 to 1 mm. Although millimeter wave is often considered as a communication medium, it has also proved to be an excellent 'sensor', thanks to its narrow beams, operation across a wide bandwidth, and interaction with atmospheric constituents. In this paper, which is to the best of our knowledge the first review that completely covers millimeter wave sensing application pipelines, we provide a comprehensive overview and analysis of different basic application pipeline building blocks, including hardware, algorithms, analytical models, and model evaluation techniques. The review also provides a taxonomy that highlights different millimeter wave sensing application domains. By performing a thorough analysis, complying with the systematic literature review methodology and reviewing 165 papers, we not only extend previous investigations focused only on communication aspects of the millimeter wave technology and using millimeter wave technology for active imaging, but also highlight scientific and technological challenges and trends, and provide a future perspective for applications of millimeter wave as a sensing technology.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Signal Processing
R.I.P.
๐ป
Ghosted
๐
๐
The Cartographer
1D Convolutional Neural Networks and Applications: A Survey
R.I.P.
๐ป
Ghosted
Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
๐
๐
The Cartographer
Accessing From The Sky: A Tutorial on UAV Communications for 5G and Beyond
R.I.P.
๐ป
Ghosted
6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities
R.I.P.
๐ป
Ghosted