NDLI: Edge based wideband sensing for cognitive radio: Algorithm and performance evaluation

Content Provider	IEEE Xplore Digital Library
Author	Yonghong Zeng Ying-Chang Liang Meng Wah Chia
Copyright Year	2011
Description	Author affiliation: Institute for Infocomm Research, A∗STAR, Singapore (Yonghong Zeng; Ying-Chang Liang; Meng Wah Chia)
Abstract	Since a cognitive radio does not have fixed spectra, it may need to sense a very large frequency range to find an available band. The sensed aggregate bandwidth could be as large as several GHz. This is especially challenging if the center frequencies and bandwidths of the sensed signals are unknown and need to be detected. In this paper, an edge based wideband sensing is proposed. The method first uses the product of wavelet transforms at different scales to detect the edges (sharp changing points) of the power spectral density (PSD) of the received signal. It then forms the possible bands based on the detected edges. Thereafter, it applies a multi-band detection scheme to classify the bands as occupied or vacant. Finally, the signal to noise ratio (SNR) of each occupied band is estimated. Performance evaluation is also a complicated issue for wideband sensing. Other than the conventional metrics as probability of detection and probability of false alarm, three new criteria are proposed to evaluate the performance of a wideband sensing. Simulations are provided to verify the methods.
Starting Page	538
Ending Page	544
File Size	427525
Page Count	7
File Format	PDF
ISBN	9781457701771
e-ISBN	9781457701788
e-ISBN	9781457701764
DOI	10.1109/DYSPAN.2011.5936244
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-03
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	wideband sensing signal detection multi-band sensing Image edge detection spectrum sensing wavelet subcarrier sensing Sensors edge detection Cognitive radio Wideband Signal to noise ratio
Content Type	Text
Resource Type	Article

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

Wideband spectrum sensing based on Multi-Resolution Bayes classifier for cognitive radio

Improved wideband spectrum sensing techniques using wavelet-based edge detection for cognitive radio

Using weighted multilevel wavelet decomposition for wideband spectrum sensing in cognitive radios

Novel spectrum edge detection techniques in wideband spectrum sensing of cognitive radio

SDR Implementation of Spectrum Sensing for Wideband Cognitive Radio

A novel approach to Wavelet Transform-based Edge Detection in wideband spectrum sensing

Energy Detection Algorithm Based on Wavelet Packet Transform under Uncertain Noise for Spectrum Sensing

Performance Evaluation of Adaptive Compressed Spectrum Sensing for Wideband Cognitive Radio Networks

A recursive algorithm for joint time-frequency wideband spectrum sensing

Edge based wideband sensing for cognitive radio: Algorithm and performance evaluation

Similar Documents

Wideband spectrum sensing based on Multi-Resolution Bayes classifier for cognitive radio

Improved wideband spectrum sensing techniques using wavelet-based edge detection for cognitive radio

Using weighted multilevel wavelet decomposition for wideband spectrum sensing in cognitive radios

Novel spectrum edge detection techniques in wideband spectrum sensing of cognitive radio

SDR Implementation of Spectrum Sensing for Wideband Cognitive Radio

A novel approach to Wavelet Transform-based Edge Detection in wideband spectrum sensing

Energy Detection Algorithm Based on Wavelet Packet Transform under Uncertain Noise for Spectrum Sensing

Performance Evaluation of Adaptive Compressed Spectrum Sensing for Wideband Cognitive Radio Networks

A recursive algorithm for joint time-frequency wideband spectrum sensing

Edge based wideband sensing for cognitive radio: Algorithm and performance evaluation