NDLI: Blind wideband spectrum sensing in cognitive radio networks based on direction of arrival estimation model and generalised autoregressive conditional heteroscedasticity noise modelling

Content Provider	IET Digital Library
Author	Mahram, Amir Shayesteh, Mahrokh G.
Abstract	A new method for wideband spectrum sensing in cognitive radio networks is proposed. Since the problem of estimating the number of occupied channels can be considered as the problem of estimating the number of signal sources in array signal processing, so the model used for direction of arrival (DOA) estimation is utilised here for spectrum-sensing modelling. In the proposed algorithm, wideband spectrum is divided into subchannels, where each subchannel resembles a sensor in array processing for DOA estimation. Furthermore, the detection problem in practical situations is complicated because noise is most likely non-Gaussian and non-stationary unlike the assumption of previously presented algorithms. Therefore, in the proposed algorithm, a generalised autoregressive conditional heteroscedasticity model is used to model the additive noise. The number and locations of the occupied subchannels will be jointly estimated using the maximum likelihood approach. The introduced method is blind as there is no need for initial information about the primary users’ signals and noise variance. The results indicate the efficiency of the proposed method.
Starting Page	3271
Ending Page	3279
Page Count	9
ISSN	17518628
Volume Number	8
e-ISSN	17518636
Issue Number	Issue 18, Dec (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/8/18
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2014.0162
Journal	IET Communications
Publisher Date	2014-12-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Additive Noise Array Signal Processing Autoregressive Processes Blind Wideband Spectrum Sensing Channel Estimation Cognitive Radio Cognitive Radio Network Communication Channel Equalisation And Identification Direction of Arrival Estimation Direction of Arrival Estimation Model DOA Estimation Generalised Autoregressive Conditional Heteroscedasticity Noise Modelling Maximum Likelihood Estimation Maximum Likelihood Estimation Approach Noise Variance Occupied Channel Estimation Primary User Signal Radio Link And Equipment Radio Spectrum Management Sensor Signal Detection Statistics
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Single and multi-frequency wideband spectrum sensing with side-information

Spectrum Sensing in Wideband OFDM Cognitive Radios

Smart antennas aided wideband detection for spectrum sensing in cognitive radio networks

Non-stationary additive noise modelling in direction-of-arrival estimation

Robust Expectation–Maximization Direction-of-Arrival Estimation Algorithm for Wideband Source Signals

Maximum likelihood DOA estimation and asymptotic Cramer-Rao bounds for additive unknown colored noise

Spectrum Sensing Exploiting Guard Bands and Weak Channels

Maximum Likelihood Direction Finding in Spatially Colored Noise Fields Using Sparse Sensor Arrays

Stochastic Maximum-Likelihood DOA Estimation in the Presence of Unknown Nonuniform Noise

Blind wideband spectrum sensing in cognitive radio networks based on direction of arrival estimation model and generalised autoregressive conditional heteroscedasticity noise modelling

Similar Documents

Single and multi-frequency wideband spectrum sensing with side-information

Spectrum Sensing in Wideband OFDM Cognitive Radios

Smart antennas aided wideband detection for spectrum sensing in cognitive radio networks

Non-stationary additive noise modelling in direction-of-arrival estimation

Robust Expectation–Maximization Direction-of-Arrival Estimation Algorithm for Wideband Source Signals

Maximum likelihood DOA estimation and asymptotic Cramer-Rao bounds for additive unknown colored noise

Spectrum Sensing Exploiting Guard Bands and Weak Channels

Maximum Likelihood Direction Finding in Spatially Colored Noise Fields Using Sparse Sensor Arrays

Stochastic Maximum-Likelihood DOA Estimation in the Presence of Unknown Nonuniform Noise

Blind wideband spectrum sensing in cognitive radio networks based on direction of arrival estimation model and generalised autoregressive conditional heteroscedasticity noise modelling