Spectrum Sensing Techniques for Detection of Radar Signals in Radar Bands 


Vol. 43,  No. 12, pp. 2048-2056, Dec.  2018
10.7840/kics.2018.43.12.2048


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  Abstract

There has been a lot of research work aiming at enhancing the utilization efficiency of radio spectrum as the demand for frequency resource has been increasing. One of them is the concept of frequency sharing and cognitive radio has been attracting much attention as a means of realizing the frequency sharing concept. Recently, radar bands are emerging as promising candidates for applying the cognitive radio based frequency sharing. This is due to the fact that the radar bands are relatively wide in frequency and found to be underutilized and the gain of employing frequency sharing in them is expected to be significant. An important element of cognitive radio is the functionality of spectrum sensing which detects the presence of a primary user in a radar band. In this paper, based on the existing literature, we introduce spectrum sensing methods which are appropriate for radar signal detection and compare their spectrum sensing performances by simulation.

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  Cite this article

[IEEE Style]

C. H. Lim, E. S. Jin, C. J. Kim, "Spectrum Sensing Techniques for Detection of Radar Signals in Radar Bands," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 12, pp. 2048-2056, 2018. DOI: 10.7840/kics.2018.43.12.2048.

[ACM Style]

Chang Heon Lim, Eun Sook Jin, and Chang Joo Kim. 2018. Spectrum Sensing Techniques for Detection of Radar Signals in Radar Bands. The Journal of Korean Institute of Communications and Information Sciences, 43, 12, (2018), 2048-2056. DOI: 10.7840/kics.2018.43.12.2048.

[KICS Style]

Chang Heon Lim, Eun Sook Jin, Chang Joo Kim, "Spectrum Sensing Techniques for Detection of Radar Signals in Radar Bands," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 12, pp. 2048-2056, 12. 2018. (https://doi.org/10.7840/kics.2018.43.12.2048)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880