Multi-Window Spectrum Sensing of Unsynchronized OFDM Signal at Very Low SNR

Author

Wang, Cong ; Wang, Xianbin ; Li, Hao ; Ho, Paul

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, ON, Canada

fYear

2009

Firstpage

1

Lastpage

5

Abstract

Reliable spectrum sensing in low signal-to-noise ratio (SNR) condition is one of the major technical challenges in cognitive radio network. In this paper, we propose a robust spectrum sensing algorithm for unsynchronized low SNR OFDM signal by mitigating the impacts of time and frequency offsets with multiple processing time window and sliding frequency correlator, respectively. In addition, considering that the noise´s statistics are unknown to the devices and varying over time, our proposed algorithm is based on a ratio threshold and hence it is not sensitive to the noise power level. Our theoretical and simulation results show that this algorithm works effectively at very low SNR, while being insensitive to time and frequency offsets, and requires no information of the noise´s statistics.

Keywords

OFDM modulation; cognitive radio; noise; radio networks; signal processing; spectral analysis; statistical analysis; cognitive radio network; multiwindow spectrum sensing; noise power level; noise statistics; processing time window; reliable spectrum sensing; robust spectrum sensing algorithm; signal-to-noise ratio condition; sliding frequency correlator; unsynchronized OFDM signal; unsynchronized low SNR OFDM signal; Chromium; Cognitive radio; Correlators; Noise level; Noise robustness; OFDM; Signal detection; Signal processing; Signal to noise ratio; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE

Conference_Location

Honolulu, HI

ISSN

1930-529X

Print_ISBN

978-1-4244-4148-8

Type

conf

DOI

10.1109/GLOCOM.2009.5425957

Filename

5425957