A new spectrum sensing method for OFDM-based cognitive radios

Author

Tian, Dan ; Zheng, Laibo ; Wang, Jianli ; Zhao, Li

Author_Institution

Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China

fYear

2012

fDate

21-23 April 2012

Firstpage

812

Lastpage

815

Abstract

Spectrum sensing is one of the most important technologies for Cognitive Radio communications. Motivated by the infeasibility of synchronization, a spectrum sensing method based on the pilot for Orthogonal Frequency Division Multiplexing (OFDM) is proposed. The proposed spectrum sensing method estimates the pilot utilizing its periodicity and Central Limit Theorem (CLT). After that we use an optimal test to detect the signal based on the Neyman-Pearson (NP) Criterion. Simulation results show that the proposed algorithm can obtain higher detection probability than the algorithms in the literature under a constant false alarm rate.

Keywords

OFDM modulation; cognitive radio; computational complexity; probability; radio spectrum management; synchronisation; CLT; NP criterion; Neyman-Pearson criterion; OFDM-based cognitive radios; central limit theorem; constant false alarm rate; detection probability; orthogonal frequency division multiplexing; spectrum sensing method; synchronization infeasibility; Cognitive radio; Detectors; OFDM; Signal to noise ratio; Simulation; Synchronization; Cognitive Radio; NP; OFDM; Pilot;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on

Conference_Location

Yichang

Print_ISBN

978-1-4577-1414-6

Type

conf

DOI

10.1109/CECNet.2012.6201639

Filename

6201639