Adaptive space-time algorithm using Frost's and Maximin
Pinyoanuntapong, Krittetash Nannre, Ramanpreet Kwon, Hyuck M. Pham, Khanh D.
Pinyoanuntapong, Krittetash
Nannre, Ramanpreet
Kwon, Hyuck M.
Pham, Khanh D.
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Authors
Pinyoanuntapong, Krittetash
Nannre, Ramanpreet
Kwon, Hyuck M.
Pham, Khanh D.
Nannre, Ramanpreet
Kwon, Hyuck M.
Pham, Khanh D.
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2019-04-15
Type
Conference paper
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Keywords
Adaptive array,Frost algorithm,Maximin algorithm,Signal-to-interference-plus-noise ratio (SINR),Space-time adaptive processing (STAP)
Subjects (LCSH)
Citation
Pinyoanuntapong, 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 8690627
Abstract
Current 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).
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IEEE
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2018 IEEE 88th Vehicular Technology Conference (VTC-Fall);
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1550-2252