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A NLLS based sub-nyquist rate spectrum sensing for wideband cognitive radio

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4 Author(s)
Rashidi, M. ; Dept. of Signal & Syst., Chalmers Univ. of Technol., Gothenburg, Sweden ; Haghighi, K. ; Panahi, A. ; Viberg, M.

For systems and devices, such as cognitive radio and networks, that need to be aware of available frequency bands, spectrum sensing has an important role. A major challenge in this area is the requirement of a high sampling rate in the sensing of a wideband signal. In this paper a wideband spectrum sensing method is presented that utilizes a sub-Nyquist sampling scheme to bring substantial savings in terms of the sampling rate. The correlation matrix of a finite number of noisy samples is computed and used by a non-linear least square (NLLS) estimator to detect the occupied and vacant channels of the spectrum. We provide an expression for the detection threshold as a function of sampling parameters and noise power. Also, a sequential forward selection algorithm is presented to find the occupied channels with low complexity. The method can be applied to both correlated and uncorrelated wideband multichannel signals. A comparison with conventional energy detection using Nyquist-rate sampling shows that the proposed scheme can yield similar performance for SNR above 4 dB with a factor of 3 smaller sampling rate.

Published in:

New Frontiers in Dynamic Spectrum Access Networks (DySPAN), 2011 IEEE Symposium on

Date of Conference:

3-6 May 2011