Multi-band CIC Filter based Low Complexity Spectrum Sensing Method 


Vol. 34,  No. 10, pp. 992-1000, Oct.  2009


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  Abstract

Available electric wave resources have been limited than frequency demands that increase with the development of radio communication. According to FCC's (Federal Communication Commission) report, 70% of allocated spectrum was unused. This means that the lack phenomenon of electronic wave resources is ineffectively managed compare with the finiteness of frequency resources. According to the recognition of unused frequency within allocated band, this progress has been investigating to identify the unused TV channel and provide radio communication services. This paper proposed the sensing algorithm that efficiently recognizes the frequency resources which does not use and shares with the licensed user through using the multi-band CIC (Cascaded Integrator Comb) filter based on polyphase filter bank. The simulation results verifies that the proposed scheme can obtain the similar performance of variance and relatively low complexity to the existing scheme.

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  Cite this article

[IEEE Style]

S. B. Lee, J. Choi, W. Lee, "Multi-band CIC Filter based Low Complexity Spectrum Sensing Method," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 10, pp. 992-1000, 2009. DOI: .

[ACM Style]

Su Bok Lee, Joo-pyoung Choi, and Won-cheol Lee. 2009. Multi-band CIC Filter based Low Complexity Spectrum Sensing Method. The Journal of Korean Institute of Communications and Information Sciences, 34, 10, (2009), 992-1000. DOI: .

[KICS Style]

Su Bok Lee, Joo-pyoung Choi, Won-cheol Lee, "Multi-band CIC Filter based Low Complexity Spectrum Sensing Method," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 10, pp. 992-1000, 10. 2009.