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dc.contributor.authorPinyoanuntapong, Krittetash
dc.contributor.authorNannre, Ramanpreet
dc.contributor.authorKwon, Hyuck M.
dc.contributor.authorPham, Khanh D.
dc.date.accessioned2019-05-27T02:51:51Z
dc.date.available2019-05-27T02:51:51Z
dc.date.issued2019-04-15
dc.identifier.citationPinyoanuntapong, Krittetash; Nannre, Ramanpreet; Kwon, Hyuck M.; Pham, Khanh D. 2019. Adaptive space-time algorithm using Frost's and Maximin. 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall):Article 8690627en_US
dc.identifier.isbn978-153866358-5
dc.identifier.issn1550-2252
dc.identifier.urihttps://doi.org/10.1109/VTCFall.2018.8690627
dc.identifier.urihttp://hdl.handle.net/10057/16311
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractCurrent state-of-the-art in global positioning system (GPS) anti-jam technology has relied on a phase array antenna that consists of N antenna elements and a processing unit that performs a phase-destructive sum of any intentional and unintentional jamming up to N-1 signals. If this limitation is exceeded, then the GPS signal will degrade rapidly and become buried in the noise. Hence, alternative anti-jamming technologies have been sought recently. This paper describes an anti-jam method that can suppress more than N-1 jamming signals with a significant reduction in size, weight, and power (SWaP) and no degradation under additive white Gaussian noise (AWGN).en_US
dc.description.sponsorshipAFRL Grant Award Number FA9453-17-1-0020.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2018 IEEE 88th Vehicular Technology Conference (VTC-Fall);
dc.subjectAdaptive arrayen_US
dc.subjectFrost algorithmen_US
dc.subjectMaximin algorithmen_US
dc.subjectSignal-to-interference-plus-noise ratio (SINR)en_US
dc.subjectSpace-time adaptive processing (STAP)en_US
dc.titleAdaptive space-time algorithm using Frost's and Maximinen_US
dc.typeConference paperen_US
dc.rights.holder© 2018 IEEE.en_US


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