Spectrum Sensing Approach Based on Optimal Stochastic Resonance Technique under Color Noise Background in Cognitive Radio Networks

Author

He, Di ; He, Chen ; Jiang, Lingge ; Lin, Yingpei

Author_Institution

Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China

fYear

2010

fDate

23-27 May 2010

Firstpage

1

Lastpage

4

Abstract

An optimal-stochastic-resonance-based spectrum sensing approach under color noise environment is proposed in this paper. It can improve the detection performance of energy detector in color noise background especially under low signal-to-noise radio (SNR). The suitable stochastic resonance (SR) noise and corresponding driving parameter can be introduced to maximize the output SNR of the SR system and the received signal. Computer simulation results show the efficiency of the proposed spectrum sensing approach under different kinds of color noises and its advantages over traditional energy detectors.

Keywords

cognitive radio; stochastic processes; SNR; cognitive radio networks; color noise background; color noise environment; color noises; computer simulation; driving parameter; energy detector; low signal-to-noise radio; optimal stochastic resonance technique; spectrum sensing approach; stochastic resonance noise; AWGN; Chromium; Cognitive radio; Colored noise; Computer simulation; Computer vision; Detectors; Signal to noise ratio; Stochastic resonance; Strontium;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications Workshops (ICC), 2010 IEEE International Conference on

Conference_Location

Capetown

Print_ISBN

978-1-4244-6824-9

Type

conf

DOI

10.1109/ICCW.2010.5503883

Filename

5503883