Process noise parameters of beamforming nodes in wireless sensor networks (WSNs)

Signals from collaborative beamforming (CB) nodes are always arriving out of phase at the intended receiver due to unsynchronized clock frequencies of different oscillators of these nodes. Beamforming nodes have to synchronize their carrier frequencies in order to eliminate any phase offset of the r...

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Main Authors: Suleiman, D. U., Esa, M., Malik, N. N. N. A., Yusof, M. F. M., Hamid, M. R. A.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2016
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Online Access:http://eprints.utm.my/id/eprint/73313/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966658416&doi=10.1109%2fSCORED.2015.7449397&partnerID=40&md5=3778697ff1121b72c307558e2b794741
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spelling my.utm.733132017-11-20T08:42:59Z http://eprints.utm.my/id/eprint/73313/ Process noise parameters of beamforming nodes in wireless sensor networks (WSNs) Suleiman, D. U. Esa, M. Malik, N. N. N. A. Yusof, M. F. M. Hamid, M. R. A. TK Electrical engineering. Electronics Nuclear engineering Signals from collaborative beamforming (CB) nodes are always arriving out of phase at the intended receiver due to unsynchronized clock frequencies of different oscillators of these nodes. Beamforming nodes have to synchronize their carrier frequencies in order to eliminate any phase offset of the received signal. To do this, estimation, correction and prediction of phase offsets due largely to these drifts needs be carried out on Software Defined-Radio (SDR) while employing non-linear filters like the Extended Kalman Filter (EKF) so as to obtain a near zero (0) phase offset. This paper presents a method of computing the NI USRP-2920 process noise parameters of the phase noise (dBc/Hz) data obtained with keysight N9320B spectrum analyzer (SA). The effects of phase offset measurements at various offset frequencies of the carrier are shown. Power-law noise model is applied to compute the Allan variance and later the process noise parameters that will be applied with the EKF. It will be noticed that the Allan variance curve truly depicts the standard slope characteristics of white frequency and random walk frequency noises which are special considerations when dealing with USRP's oscillators. Institute of Electrical and Electronics Engineers Inc. 2016 Conference or Workshop Item PeerReviewed Suleiman, D. U. and Esa, M. and Malik, N. N. N. A. and Yusof, M. F. M. and Hamid, M. R. A. (2016) Process noise parameters of beamforming nodes in wireless sensor networks (WSNs). In: IEEE Student Conference on Research and Development, SCOReD 2015, 13 - 14 Dec 2015, Kuala Lumpur, Malaysia. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966658416&doi=10.1109%2fSCORED.2015.7449397&partnerID=40&md5=3778697ff1121b72c307558e2b794741
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
Suleiman, D. U.
Esa, M.
Malik, N. N. N. A.
Yusof, M. F. M.
Hamid, M. R. A.
Process noise parameters of beamforming nodes in wireless sensor networks (WSNs)
description Signals from collaborative beamforming (CB) nodes are always arriving out of phase at the intended receiver due to unsynchronized clock frequencies of different oscillators of these nodes. Beamforming nodes have to synchronize their carrier frequencies in order to eliminate any phase offset of the received signal. To do this, estimation, correction and prediction of phase offsets due largely to these drifts needs be carried out on Software Defined-Radio (SDR) while employing non-linear filters like the Extended Kalman Filter (EKF) so as to obtain a near zero (0) phase offset. This paper presents a method of computing the NI USRP-2920 process noise parameters of the phase noise (dBc/Hz) data obtained with keysight N9320B spectrum analyzer (SA). The effects of phase offset measurements at various offset frequencies of the carrier are shown. Power-law noise model is applied to compute the Allan variance and later the process noise parameters that will be applied with the EKF. It will be noticed that the Allan variance curve truly depicts the standard slope characteristics of white frequency and random walk frequency noises which are special considerations when dealing with USRP's oscillators.
format Conference or Workshop Item
author Suleiman, D. U.
Esa, M.
Malik, N. N. N. A.
Yusof, M. F. M.
Hamid, M. R. A.
author_facet Suleiman, D. U.
Esa, M.
Malik, N. N. N. A.
Yusof, M. F. M.
Hamid, M. R. A.
author_sort Suleiman, D. U.
title Process noise parameters of beamforming nodes in wireless sensor networks (WSNs)
title_short Process noise parameters of beamforming nodes in wireless sensor networks (WSNs)
title_full Process noise parameters of beamforming nodes in wireless sensor networks (WSNs)
title_fullStr Process noise parameters of beamforming nodes in wireless sensor networks (WSNs)
title_full_unstemmed Process noise parameters of beamforming nodes in wireless sensor networks (WSNs)
title_sort process noise parameters of beamforming nodes in wireless sensor networks (wsns)
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2016
url http://eprints.utm.my/id/eprint/73313/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966658416&doi=10.1109%2fSCORED.2015.7449397&partnerID=40&md5=3778697ff1121b72c307558e2b794741
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score 13.211869