The implementation of wideband cyclostationary feature detector with receiver constraints

Ikedieze Gabriel  Anyim; John Chiverton; Misha Filip; Abdulkarim Tawfik

doi:10.1109/EuCNC.2017.7980722

The implementation of wideband cyclostationary feature detector with receiver constraints

Ikedieze Gabriel Anyim, John Chiverton, Misha Filip, Abdulkarim Tawfik

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

Cognitive radio system is a context-aware technology in communications. Spectrum sensing is an important function in the implementation of cognitive radio systems by detecting the presence or absence of primary users within the frequency spectrum and makes available free channels for secondary users. Cyclostationary Feature Detector is capable of detecting signals at low signal to noise ratios relying on the signals features such as cyclic frequency, symbol rate, carrier frequency and modulation type. Local oscillator frequency offsets, Doppler effects and jitter produce cyclic and sampling clock offsets at the receiver which will degrade the performance. We propose a multi-slot cyclostationary feature detector that reduces the effects of the offsets by deriving the pair of slot and fast Fourier transform sizes that can be used for implementation. Consequently, this pair was used to show that these offsets can be reduced and also compared the detection performance scenarios with and without offsets.

Original language	English
Title of host publication	2017 European Conference on Networks and Communications (EuCNC)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	5
ISBN (Electronic)	978-1538638736
ISBN (Print)	978-1538638743
DOIs	https://doi.org/10.1109/EuCNC.2017.7980722
Publication status	Published - 17 Jul 2017
Event	European Conference on Networks and Communications 2017 - Oulu, Finland Duration: 12 Jun 2017 → 15 Jun 2017 http://www.eucnc.eu/

Conference

Conference	European Conference on Networks and Communications 2017
Abbreviated title	EUCNC
Country/Territory	Finland
City	Oulu
Period	12/06/17 → 15/06/17
Internet address	http://www.eucnc.eu/

Keywords

cognitive radio
spectrum sensing
cyclostationary
cyclic autocorrelation function
spectral correlation function
wideband
feature
detection

Access to Document

10.1109/EuCNC.2017.7980722

gajcmfat_EuCNC2017_ update
2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. DOI:10.1109/EuCNC.2017.7980722.
Accepted author manuscript (Post-print), 760 KB

http://ieeexplore.ieee.org/document/7980722/

Cyclostationary Signal Processing and Detection
Chiverton, J. (PI), Anyim, I. (Team Member) & Filip, M. (CoI)
2/02/15 → 2/02/18
Project: Research

Cite this

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title = "The implementation of wideband cyclostationary feature detector with receiver constraints",

abstract = "Cognitive radio system is a context-aware technology in communications. Spectrum sensing is an important function in the implementation of cognitive radio systems by detecting the presence or absence of primary users within the frequency spectrum and makes available free channels for secondary users. Cyclostationary Feature Detector is capable of detecting signals at low signal to noise ratios relying on the signals features such as cyclic frequency, symbol rate, carrier frequency and modulation type. Local oscillator frequency offsets, Doppler effects and jitter produce cyclic and sampling clock offsets at the receiver which will degrade the performance. We propose a multi-slot cyclostationary feature detector that reduces the effects of the offsets by deriving the pair of slot and fast Fourier transform sizes that can be used for implementation. Consequently, this pair was used to show that these offsets can be reduced and also compared the detection performance scenarios with and without offsets.",

keywords = "cognitive radio, spectrum sensing, cyclostationary, cyclic autocorrelation function, spectral correlation function, wideband, feature, detection",

author = "Anyim, {Ikedieze Gabriel} and John Chiverton and Misha Filip and Abdulkarim Tawfik",

year = "2017",

month = jul,

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doi = "10.1109/EuCNC.2017.7980722",

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isbn = "978-1538638743",

booktitle = "2017 European Conference on Networks and Communications (EuCNC)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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note = "European Conference on Networks and Communications 2017, EUCNC ; Conference date: 12-06-2017 Through 15-06-2017",

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Anyim, IG, Chiverton, J , Filip, M & Tawfik, A 2017, The implementation of wideband cyclostationary feature detector with receiver constraints. in 2017 European Conference on Networks and Communications (EuCNC). Institute of Electrical and Electronics Engineers Inc., European Conference on Networks and Communications 2017, Oulu, Finland, 12/06/17. https://doi.org/10.1109/EuCNC.2017.7980722

The implementation of wideband cyclostationary feature detector with receiver constraints. / Anyim, Ikedieze Gabriel ; Chiverton, John ; Filip, Misha et al.
2017 European Conference on Networks and Communications (EuCNC). Institute of Electrical and Electronics Engineers Inc., 2017.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - The implementation of wideband cyclostationary feature detector with receiver constraints

AU - Anyim, Ikedieze Gabriel

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AU - Filip, Misha

AU - Tawfik, Abdulkarim

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N2 - Cognitive radio system is a context-aware technology in communications. Spectrum sensing is an important function in the implementation of cognitive radio systems by detecting the presence or absence of primary users within the frequency spectrum and makes available free channels for secondary users. Cyclostationary Feature Detector is capable of detecting signals at low signal to noise ratios relying on the signals features such as cyclic frequency, symbol rate, carrier frequency and modulation type. Local oscillator frequency offsets, Doppler effects and jitter produce cyclic and sampling clock offsets at the receiver which will degrade the performance. We propose a multi-slot cyclostationary feature detector that reduces the effects of the offsets by deriving the pair of slot and fast Fourier transform sizes that can be used for implementation. Consequently, this pair was used to show that these offsets can be reduced and also compared the detection performance scenarios with and without offsets.

AB - Cognitive radio system is a context-aware technology in communications. Spectrum sensing is an important function in the implementation of cognitive radio systems by detecting the presence or absence of primary users within the frequency spectrum and makes available free channels for secondary users. Cyclostationary Feature Detector is capable of detecting signals at low signal to noise ratios relying on the signals features such as cyclic frequency, symbol rate, carrier frequency and modulation type. Local oscillator frequency offsets, Doppler effects and jitter produce cyclic and sampling clock offsets at the receiver which will degrade the performance. We propose a multi-slot cyclostationary feature detector that reduces the effects of the offsets by deriving the pair of slot and fast Fourier transform sizes that can be used for implementation. Consequently, this pair was used to show that these offsets can be reduced and also compared the detection performance scenarios with and without offsets.

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KW - spectrum sensing

KW - cyclostationary

KW - cyclic autocorrelation function

KW - spectral correlation function

KW - wideband

KW - feature

KW - detection

U2 - 10.1109/EuCNC.2017.7980722

DO - 10.1109/EuCNC.2017.7980722

M3 - Conference contribution

SN - 978-1538638743

BT - 2017 European Conference on Networks and Communications (EuCNC)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - European Conference on Networks and Communications 2017

Y2 - 12 June 2017 through 15 June 2017

ER -

The implementation of wideband cyclostationary feature detector with receiver constraints

Abstract

Conference

Keywords

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Projects

Cyclostationary Signal Processing and Detection

Cite this