Enhancing RF Sensing with Deep Learning: A Layered Approach
Enhancing RF Sensing with Deep Learning: A Layered Approach
About this item
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Author / Creator
Zheng, Tianyue , Chen, Zhe , Ding, Shuya and Luo, Jun
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Contents
In recent years, radio frequency (RF) sensing has gained increasing popularity due to its pervasiveness, low cost, non-intrusiveness, and privacy preservation. However, realizing the promises of RF sensing is highly nontrivial, given typical challenges such as multipath and interference. One potential solution leverages deep learning to build direc...
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Full title
Enhancing RF Sensing with Deep Learning: A Layered Approach
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TN_cdi_proquest_journals_2588154263
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2588154263
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2110.14849
