Machine Learning Methods for Inferring the Number of UAV Emitters via Massive MIMO Receive Array
Machine Learning Methods for Inferring the Number of UAV Emitters via Massive MIMO Receive Array
About this item
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Author / Creator
Li, Yifan , Shu, Feng , Hu, Jinsong , Yan, Shihao , Song, Haiwei , Zhu, Weiqiang , Tian, Da , Song, Yaoliang and Wang, Jiangzhou
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
To provide important prior knowledge for the direction of arrival (DOA) estimation of UAV emitters in future wireless networks, we present a complete DOA preprocessing system for inferring the number of emitters via a massive multiple-input multiple-output (MIMO) receive array. Firstly, in order to eliminate the noise signals, two high-precision si...
Alternative Titles
Full title
Machine Learning Methods for Inferring the Number of UAV Emitters via Massive MIMO Receive Array
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_66c338130f38449baa74d2489abfefd1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_66c338130f38449baa74d2489abfefd1
Other Identifiers
ISSN
2504-446X
E-ISSN
2504-446X
DOI
10.3390/drones7040256
