Real-time frequency estimation of complex GMSK signal of green communications devices

Parameter estimation of signals of universal software radio peripheral (USRP) devices is crucial to solve the problem of phase offsets of received signals in distributed beamforming. For systems that will utilize the closed loop feedback algorithm where the receiver needs to send the received signal...

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Main Authors: Dauda, U. S., NikAbdMalik, N. N., Esa, M., Yusof, K. M., Yusoff, M. F. M., Hamid, M. R.
Format: Article
Published: University of Electronic Science and Technology of China 2016
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Online Access:http://eprints.utm.my/id/eprint/72433/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008701982&doi=10.11989%2fJEST.1674-862X.603172&partnerID=40&md5=340a9ebaba06aae8e9047a90bba20275
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spelling my.utm.724332017-11-27T08:55:19Z http://eprints.utm.my/id/eprint/72433/ Real-time frequency estimation of complex GMSK signal of green communications devices Dauda, U. S. NikAbdMalik, N. N. Esa, M. Yusof, K. M. Yusoff, M. F. M. Hamid, M. R. TK Electrical engineering. Electronics Nuclear engineering Parameter estimation of signals of universal software radio peripheral (USRP) devices is crucial to solve the problem of phase offsets of received signals in distributed beamforming. For systems that will utilize the closed loop feedback algorithm where the receiver needs to send the received signal strength (RSS) values periodically to the beamforming node so as to take advantage of energy conservation, the frequency and phase of these signals should be estimated before smoothening by nonlinear filters. This article presents the estimation of the frequency offsets of a Gaussian minimum shift keying (GMSK) signal from N210 USRP devices in real time by using the Radix-2 fast Fourier transform (FFT) algorithm in GNURadio. For these green communications devices, most of the needed hardware parts have been software defined, thereby reducing the supposed energy consumption. The frequency offsets from reference carrier frequencies of 900 MHz and 2.4 GHz are less than 3 kHz each before the estimation, but the average offsets are 45 Hz and 100 Hz after the estimation, respectively. The high offset value experienced with the 2.4 GHz carrier was due to consistent interference from devices on that same frequency. University of Electronic Science and Technology of China 2016 Article PeerReviewed Dauda, U. S. and NikAbdMalik, N. N. and Esa, M. and Yusof, K. M. and Yusoff, M. F. M. and Hamid, M. R. (2016) Real-time frequency estimation of complex GMSK signal of green communications devices. Journal of Electronic Science and Technology, 14 (2). pp. 126-132. ISSN 1674-862X https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008701982&doi=10.11989%2fJEST.1674-862X.603172&partnerID=40&md5=340a9ebaba06aae8e9047a90bba20275
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Dauda, U. S.
NikAbdMalik, N. N.
Esa, M.
Yusof, K. M.
Yusoff, M. F. M.
Hamid, M. R.
Real-time frequency estimation of complex GMSK signal of green communications devices
description Parameter estimation of signals of universal software radio peripheral (USRP) devices is crucial to solve the problem of phase offsets of received signals in distributed beamforming. For systems that will utilize the closed loop feedback algorithm where the receiver needs to send the received signal strength (RSS) values periodically to the beamforming node so as to take advantage of energy conservation, the frequency and phase of these signals should be estimated before smoothening by nonlinear filters. This article presents the estimation of the frequency offsets of a Gaussian minimum shift keying (GMSK) signal from N210 USRP devices in real time by using the Radix-2 fast Fourier transform (FFT) algorithm in GNURadio. For these green communications devices, most of the needed hardware parts have been software defined, thereby reducing the supposed energy consumption. The frequency offsets from reference carrier frequencies of 900 MHz and 2.4 GHz are less than 3 kHz each before the estimation, but the average offsets are 45 Hz and 100 Hz after the estimation, respectively. The high offset value experienced with the 2.4 GHz carrier was due to consistent interference from devices on that same frequency.
format Article
author Dauda, U. S.
NikAbdMalik, N. N.
Esa, M.
Yusof, K. M.
Yusoff, M. F. M.
Hamid, M. R.
author_facet Dauda, U. S.
NikAbdMalik, N. N.
Esa, M.
Yusof, K. M.
Yusoff, M. F. M.
Hamid, M. R.
author_sort Dauda, U. S.
title Real-time frequency estimation of complex GMSK signal of green communications devices
title_short Real-time frequency estimation of complex GMSK signal of green communications devices
title_full Real-time frequency estimation of complex GMSK signal of green communications devices
title_fullStr Real-time frequency estimation of complex GMSK signal of green communications devices
title_full_unstemmed Real-time frequency estimation of complex GMSK signal of green communications devices
title_sort real-time frequency estimation of complex gmsk signal of green communications devices
publisher University of Electronic Science and Technology of China
publishDate 2016
url http://eprints.utm.my/id/eprint/72433/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008701982&doi=10.11989%2fJEST.1674-862X.603172&partnerID=40&md5=340a9ebaba06aae8e9047a90bba20275
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score 13.160551