A NLLS based sub-Nyquist rate Spectrum Sensing for Wideband Cognitive Radio
Paper i proceeding, 2011

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 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 in a 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.

NLLS method


cognitive radio

spectrum sensing



Moslem Rashidi Avendi

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik

Kasra Haghighi

Chalmers, Signaler och system, Kommunikation, Antenner och Optiska Nätverk

Ashkan Panahi

Chalmers, Signaler och system

Mats Viberg

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik

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

545-551 5936245
978-1-4577-0178-8 (ISBN)


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