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Multi-Beam 8 × 8 RF Aperture Digital Beamformers Using Multiplierless 2-D FFT Approximations

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dc.contributor.author Kulasekera, S
dc.contributor.author Madanayake, A
dc.contributor.author Wijenayake, C
dc.contributor.author Bayer, FM
dc.contributor.author Cintra, RJ
dc.date.accessioned 2015-08-03T10:05:36Z
dc.date.available 2015-08-03T10:05:36Z
dc.date.issued 2015-08-03
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/11074
dc.description.abstract The two-dimensional (2-D) discrete Fourier transform (DFT) is widely used in digital signal processing (DSP) and computing applications. Fast Fourier transforms (FFTs) are widely used as low-complexity algorithms for the computation of the DFT as it reduces the required computation operations from O(N2) to O(N log2 N). The multiplicative complexity is used as a benchmark in comparing different algorithms as it affects the circuit complexity, chip area and power. This paper introduces a new class of multiplierless hardware algorithm consisting only of arithmetic adder circuits that closely approximates the 2-D version of the 8-point DFT. The paper discusses the theory behind the proposed new algorithm, with the DFT presented in the form of an 8 × 8 matrix. Furthermore it provide a multi-beam RF aperture application example where the 2-D DFT approximation has been used to closely obtain the antenna array patterns. en_US
dc.language.iso en en_US
dc.subject DSP en_US
dc.subject FFT
dc.subject arrays
dc.subject beamforming
dc.subject aperture
dc.subject multibeam
dc.title Multi-Beam 8 × 8 RF Aperture Digital Beamformers Using Multiplierless 2-D FFT Approximations en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Electrical and Computer Engineering The University of Akron Akron, Ohio, 44325-3904 en_US
dc.identifier.department Electrical Engineering and Telecom University of New South Wales Sydney NSW 2052, Australia en_US
dc.identifier.department Departamento de Estatística Universidade Federal de Santa Maria Santa Maria - RS, 97105-900, Brazil en_US
dc.identifier.department Signal Processing Group, Departamento de Estatística Universidade Federal de Pernambuco Recife - PE, 50670-901, Brazil en_US
dc.identifier.department Signal Processing Group, Departamento de Estatística Universidade Federal de Pernambuc en_US
dc.identifier.year 2015 en_US
dc.identifier.conference MERCon 2015 Moratuwa Engineering Research Conference en_US
dc.identifier.place University of Moratuwa, Sri Lanka en_US
dc.identifier.pgnos p 50 en_US
dc.identifier.email arjuna@uakron.edu en_US
dc.identifier.email c.wijenayake@unsw.edu.au en_US
dc.identifier.email fabiobayer@gmail.com en_US
dc.identifier.email dmsuarezv@unal.edu.co en_US
dc.identifier.email rjdsc@stat.ufpe.org en_US


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