University of Hertfordshire

Spectrum Sensing of DVB-T2 Signals in Multipath Channels for Cognitive Radio Networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Spectrum Sensing of DVB-T2 Signals in Multipath Channels for Cognitive Radio Networks. / Simpson, Oluyomi; Sun, Yichuang; Abdulkadir, Yusuf; El Cheikh, Mohamad.

European Wireless 2018; 24th European Wireless Conference. VDE VERLAG GMBH, 2018. p. 237-241.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Simpson, O, Sun, Y, Abdulkadir, Y & El Cheikh, M 2018, Spectrum Sensing of DVB-T2 Signals in Multipath Channels for Cognitive Radio Networks. in European Wireless 2018; 24th European Wireless Conference. VDE VERLAG GMBH, pp. 237-241, 24th European Wireless Conference, Catania, Italy, 2/05/18.

APA

Simpson, O., Sun, Y., Abdulkadir, Y., & El Cheikh, M. (2018). Spectrum Sensing of DVB-T2 Signals in Multipath Channels for Cognitive Radio Networks. In European Wireless 2018; 24th European Wireless Conference (pp. 237-241). VDE VERLAG GMBH.

Vancouver

Simpson O, Sun Y, Abdulkadir Y, El Cheikh M. Spectrum Sensing of DVB-T2 Signals in Multipath Channels for Cognitive Radio Networks. In European Wireless 2018; 24th European Wireless Conference. VDE VERLAG GMBH. 2018. p. 237-241

Author

Simpson, Oluyomi ; Sun, Yichuang ; Abdulkadir, Yusuf ; El Cheikh, Mohamad. / Spectrum Sensing of DVB-T2 Signals in Multipath Channels for Cognitive Radio Networks. European Wireless 2018; 24th European Wireless Conference. VDE VERLAG GMBH, 2018. pp. 237-241

Bibtex

@inproceedings{559ea11f128d41ecbbcd76602db4faa6,
title = "Spectrum Sensing of DVB-T2 Signals in Multipath Channels for Cognitive Radio Networks",
abstract = "In this paper, spectrum sensing of digital video broadcasting-second generation terrestrial (DVB-T2) signals in different fading environments with energy detection (ED) is considered. ED is known to achieve an increased performance among low computational complexity detectors, but it is susceptible to noise uncertainty. By taking into consideration the edge pilot and scattered pilot periodicity in DVB-T2 signals, a low computational complex noise power estimator is proposed. It is shown analytically that the choice of detector depends on the environment, the detector requirements, the available prior knowledge and with the noise power estimator. Simulation confirm that with the noise power estimator, ED significantly outperforms the pilot correlation-based detectors. Simulation also show that the proposed scheme enables ED to obtain increased detection performance in fading channels.",
keywords = "Cognitive radio, DVB-T2, Noise estimation, Spectrum sensing",
author = "Oluyomi Simpson and Yichuang Sun and Yusuf Abdulkadir and {El Cheikh}, Mohamad",
note = "{\circledC} 2018 VDE VERLAG GMBH",
year = "2018",
month = "6",
day = "14",
language = "English",
isbn = "978-3-8007-4560-9",
pages = "237--241",
booktitle = "European Wireless 2018; 24th European Wireless Conference",
publisher = "VDE VERLAG GMBH",

}

RIS

TY - GEN

T1 - Spectrum Sensing of DVB-T2 Signals in Multipath Channels for Cognitive Radio Networks

AU - Simpson, Oluyomi

AU - Sun, Yichuang

AU - Abdulkadir, Yusuf

AU - El Cheikh, Mohamad

N1 - © 2018 VDE VERLAG GMBH

PY - 2018/6/14

Y1 - 2018/6/14

N2 - In this paper, spectrum sensing of digital video broadcasting-second generation terrestrial (DVB-T2) signals in different fading environments with energy detection (ED) is considered. ED is known to achieve an increased performance among low computational complexity detectors, but it is susceptible to noise uncertainty. By taking into consideration the edge pilot and scattered pilot periodicity in DVB-T2 signals, a low computational complex noise power estimator is proposed. It is shown analytically that the choice of detector depends on the environment, the detector requirements, the available prior knowledge and with the noise power estimator. Simulation confirm that with the noise power estimator, ED significantly outperforms the pilot correlation-based detectors. Simulation also show that the proposed scheme enables ED to obtain increased detection performance in fading channels.

AB - In this paper, spectrum sensing of digital video broadcasting-second generation terrestrial (DVB-T2) signals in different fading environments with energy detection (ED) is considered. ED is known to achieve an increased performance among low computational complexity detectors, but it is susceptible to noise uncertainty. By taking into consideration the edge pilot and scattered pilot periodicity in DVB-T2 signals, a low computational complex noise power estimator is proposed. It is shown analytically that the choice of detector depends on the environment, the detector requirements, the available prior knowledge and with the noise power estimator. Simulation confirm that with the noise power estimator, ED significantly outperforms the pilot correlation-based detectors. Simulation also show that the proposed scheme enables ED to obtain increased detection performance in fading channels.

KW - Cognitive radio

KW - DVB-T2

KW - Noise estimation

KW - Spectrum sensing

UR - http://www.scopus.com/inward/record.url?scp=85050037767&partnerID=8YFLogxK

M3 - Conference contribution

SN - 978-3-8007-4560-9

SP - 237

EP - 241

BT - European Wireless 2018; 24th European Wireless Conference

PB - VDE VERLAG GMBH

ER -