Multi-window spectrum sensing of unsynchronized OFDM signal at very low SNR

Authors:
Cong Wang;Xianbin Wang;Hao Li;Paul Ho
Affiliations:
The University of Western Ontario, Canada;The University of Western Ontario, Canada;The University of Western Ontario, Canada;Simon Fraser University, Canada
Venue:
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Year:
2009

Citing 1
Cited 1

OFDM system identification for cognitive radio based on pilot-induced cyclostationarity

WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference

Fundamental Limitations on Pilot-based Spectrum Sensing at Very Low SNR

Wireless Personal Communications: An International Journal

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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.