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A HOS-Based Blind Spectrum Sensing in Noise Uncertainty

Journal of ICT Research and Applications (JICTRA) · Vol. 9 No. 1 (2015) · pp. 20–38

DOI
10.5614/itbj.ict.res.appl.2015.9.1.2
ISSN
2338-5499, 2337-5787
Published
2015-06-30
Publisher
DRI - ITB
Language
eng

Abstract

Spectrum sensing for cognitive radio is a challenging task since it has to be able to detect the primary signal at a low signal to noise ratio (SNR). At a low SNR, the variance of noise fluctuates due to noise uncertainty. Detection of the primary signal will be difficult especially for blind spectrum sensing methods that rely on the variance of noise for their threshold setting, such as energy detection. Instead of using the energy difference, we propose a spectrum sensing method based on the distribution difference. When the channel is occupied, the distribution of the received signal, which propagates under a wireless fading channel, will have a non-Gaussian distribution. This will be different from the Gaussian noise when the channel is vacant. Kurtosis, a higher order statistic (HOS) of the 4th order, is used as normality test for the test statistic. We measured the detection rate of the proposed method by performing a simulation of the detection process. Our proposed method's performance proved superior in detecting a real digital TV signal in noise uncertainty.

Collaboration network of the authors

26 authors · 69 co-authorship links · 33 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Bandung Institute of Technology
  • National Research and Innovation Agency
  • Indonesian Institute of Sciences
  • Universitas Nusa Mandiri
  • Universitas Nurtanio
  • State University of Jakarta
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Adit KurniawanBandung Institute of Technology4
Arief Suryadi SatyawanUniversitas Nurtanio3
Nasrullah ArmiNational Research and Innovation Agency2
Suyoto SuyotoNational Research and Innovation Agency2
Rina Pudji AstutiBandung Institute of Technology2
Suyoto SuyotoIndonesian Institute of Sciences2
Siska RahmadaniUniversitas Nusa Mandiri1
Muhammad HarisUniversitas Nusa Mandiri1
Naufal El FarisiBandung Institute of Technology1
Baso MaruddaniState University of Jakarta1
Achmad MunirBandung Institute of Technology1
Koredianto UsmanBandung Institute of Technology1
Hendra Edi GunawanBandung Institute of Technology1
Iskandar IskandarBandung Institute of Technology1
Leanna Vidya YovitaBandung Institute of Technology1
Vita Awalia MardianaIndonesian Institute of Sciences1
Dayat KurniawanIndonesian Institute of Sciences1
Chaeriah Bin Ali WaelNational Research and Innovation Agency1
Galih Nugraha NurkahfiNational Research and Innovation Agency1
Mochamad Mardi Marta DinataNational Research and Innovation Agency1
Arumjeni MitayaniNational Research and Innovation Agency1
Purwoko AdhiNational Research and Innovation Agency1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jictra/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">A HOS-Based Blind Spectrum Sensing in Noise Uncertainty</dc:title>
	<dc:creator>Subekti, Agus</dc:creator>
	<dc:creator>Sugihartono, Sugihartono</dc:creator>
	<dc:creator>Syambas, Nana Rachmana</dc:creator>
	<dc:creator>Suksmono, Andriyan Bayu</dc:creator>
	<dc:description xml:lang="en-US">Spectrum sensing for cognitive radio is a challenging task since it has to be able to detect the primary signal at a low signal to noise ratio (SNR). At a low SNR, the variance of noise fluctuates due to noise uncertainty. Detection of the primary signal will be difficult especially for blind spectrum sensing methods that rely on the variance of noise for their threshold setting, such as energy detection. Instead of using the energy difference, we propose a spectrum sensing method based on the distribution difference. When the channel is occupied, the distribution of the received signal, which propagates under a wireless fading channel, will have a non-Gaussian distribution. This will be different from the  Gaussian noise when the channel is vacant. Kurtosis, a higher order statistic (HOS) of  the  4th order,  is used as normality test for the test statistic. We measured the detection rate of the proposed method by performing a simulation of the detection process. Our proposed method's performance proved superior in detecting a real digital TV signal in noise uncertainty.</dc:description>
	<dc:publisher xml:lang="en-US">DRI - ITB</dc:publisher>
	<dc:date>2015-06-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jictra/article/view/1170</dc:identifier>
	<dc:identifier>10.5614/itbj.ict.res.appl.2015.9.1.2</dc:identifier>
	<dc:source xml:lang="en-US">Journal of ICT Research and Applications; Vol. 9 No. 1 (2015); 20-38</dc:source>
	<dc:source>2338-5499</dc:source>
	<dc:source>2337-5787</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jictra/article/view/1170/904</dc:relation>
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