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A NLLS based sub-Nyquist rate Spectrum Sensing for Wideband Cognitive Radio

Moslem Rashidi Avendi (Institutionen för signaler och system, Signalbehandling) ; Kasra Haghighi (Institutionen för signaler och system, Kommunikationssystem) ; Ashkan Panahi (Institutionen för signaler och system) ; Mats Viberg (Institutionen för signaler och system, Signalbehandling)
Fifth IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks 2011(DySPAN 2011) p. 545-551. (2011)
[Konferensbidrag, refereegranskat]

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.

Nyckelord: spectrum sensing, sub-Nyquist, wideband, cognitive radio, NLLS method



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Denna post skapades 2011-02-09. Senast ändrad 2015-05-08.
CPL Pubid: 136657