Next Article in Journal
VIS-NIR, SWIR and LWIR Imagery for Estimation of Ground Bearing Capacity
Previous Article in Journal
Guaranteeing Isochronous Control of Networked Motion Control Systems Using Phase Offset Adjustment
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(6), 13966-13993;

Novel Spectrum Sensing Algorithms for OFDM Cognitive Radio Networks

School of Electronics and Information Engineering, Harbin Institute of Technology, 92 Xidazhi Street, Harbin150001, China
Department of engineering, Faculty of Science and Engineering, Macquarie University, North Ryde, Sydeny, NSW 2109, Australia
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 21 April 2015 / Revised: 8 June 2015 / Accepted: 9 June 2015 / Published: 15 June 2015
(This article belongs to the Section Physical Sensors)
Full-Text   |   PDF [498 KB, uploaded 15 June 2015]


Spectrum sensing technology plays an increasingly important role in cognitive radio networks. Consequently, several spectrum sensing algorithms have been proposed in the literature. In this paper, we present a new spectrum sensing algorithm “Differential Characteristics-Based OFDM (DC-OFDM)” for detecting OFDM signal on account of differential characteristics. We put the primary value on channel gain Ɵ around zero to detect the presence of primary user. Furthermore, utilizing the same method of differential operation, we improve two traditional OFDM sensing algorithms (cyclic prefix and pilot tones detecting algorithms), and propose a “Differential Characteristics-Based Cyclic Prefix (DC-CP)” detector and a “Differential Characteristics-Based Pilot Tones (DC-PT)” detector, respectively. DC-CP detector is based on auto-correlation vector to sense the spectrum, while the DC-PT detector takes the frequency-domain cross-correlation of PT as the test statistic to detect the primary user. Moreover, the distributions of the test statistics of the three proposed methods have been derived. Simulation results illustrate that all of the three proposed methods can achieve good performance under low signal to noise ratio (SNR) with the presence of timing delay. Specifically, the DC-OFDM detector gets the best performance among the presented detectors. Moreover, both of the DC-CP and DC-PT detector achieve significant improvements compared with their corresponding original detectors. View Full-Text
Keywords: cognitive radio; spectrum sensing; OFDM; CP detection; PT detection cognitive radio; spectrum sensing; OFDM; CP detection; PT detection
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Shi, Z.; Wu, Z.; Yin, Z.; Cheng, Q. Novel Spectrum Sensing Algorithms for OFDM Cognitive Radio Networks. Sensors 2015, 15, 13966-13993.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top