Detection of a Radar Signal Using the Periodicity of its Autocorrelation Function 


Vol. 41,  No. 7, pp. 732-737, Jul.  2016


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  Abstract

A pulse radar signal exhibits periodic appearance of pulses in time. So it leads to a high correlation between two samples separated in time by multiples of its period. In this paper, we present a spectrum sensing technique for a radar signal which exploits the periodicity of its autocorrelation function and a radar pulse interval estimation scheme in order to address the case that the radar pulse interval is not known a priori. Finally, we evaluate the sensing performance of the proposed scheme through computer simulation and compare its performances with those of energy detection.

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  Cite this article

[IEEE Style]

C. H. Lim, H. J. Kim, C. J. Kim, "Detection of a Radar Signal Using the Periodicity of its Autocorrelation Function," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 7, pp. 732-737, 2016. DOI: .

[ACM Style]

Chang Heon Lim, Hyung Jung Kim, and Chang Joo Kim. 2016. Detection of a Radar Signal Using the Periodicity of its Autocorrelation Function. The Journal of Korean Institute of Communications and Information Sciences, 41, 7, (2016), 732-737. DOI: .

[KICS Style]

Chang Heon Lim, Hyung Jung Kim, Chang Joo Kim, "Detection of a Radar Signal Using the Periodicity of its Autocorrelation Function," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 7, pp. 732-737, 7. 2016.