Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Spectrum sensing algorithm based on the modulation spectrum

Authors: Alfonso Prieto-Guerrero; Arturo Briones-Reyes;

Spectrum sensing algorithm based on the modulation spectrum

Abstract

Spectrum sensing is without doubt the most important part in the implementation of cognitive radio networks. Therefore, many algorithms for signal detection of primary users have been proposed, being those based on spectral correlation the most outstanding, because of their good performance in environments with low signal-to-noise ratio. However, the computational complexity is one of their major disadvantages. In this paper a new method for detecting primary users is proposed using the modulation spectrum, which offers a good performance in environments with low signal to noise ratio and a low computational complexity. To prove that, a performance comparison is done, considering a DS-CDMA scheme, between the based-spectral correlation algorithm and the proposed in this work.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!