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Träfflista för sökning "LAR1:cth ;pers:(Viberg Mats 1961);pers:(Haghighi Kasra 1978)"

Sökning: LAR1:cth > Viberg Mats 1961 > Haghighi Kasra 1978

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1.
  • Rashidi Avendi, Moslem, 1979-, et al. (författare)
  • A NLLS based sub-Nyquist rate Spectrum Sensing for Wideband Cognitive Radio
  • 2011
  • Ingår i: Fifth IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks 2011(DySPAN 2011). - 978-1-4577-0178-8 ; s. 545-551
  • Konferensbidrag (refereegranskat)abstract
    • 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.
2.
  • Rashidi Avendi, Moslem, 1979-, et al. (författare)
  • A Wideband Spectrum Sensing Method For Cognitive Radio Using Sub-Nyquist Sampling
  • 2011
  • Ingår i: 2011 Digital Signal Processing and Signal Processing Education Meeting, DSP/SPE 2011 - Proceedings. - 978-161284227-1 ; s. 30-35
  • Konferensbidrag (refereegranskat)abstract
    • Spectrum sensing is a fundamental component in cognitive radio. 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 model 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 subspace estimator to detect the occupied and vacant channels of the spectrum. In contrast with common methods, the proposed method does not need the knowledge of signal properties that mitigates the uncertainty problem. We evaluate the performance of this method by computing the probability of detecting signal occupancy in terms of the number of samples and the SNR of randomly generated signals. The results show a reliable detection even in low SNR and small number of samples.
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Rashidi Avendi, Mosl ... (2)
Panahi, Ashkan, 1986 ... (1)
Owrang, Arash, 1979- ... (1)
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