The Signal Detection Algorithms for Reducing False Alarms of CR System in Real Environment 


Vol. 36,  No. 8, pp. 529-535, Aug.  2011


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  Abstract

After permission for utilization of TV white space by FCC, a lot of attentions are focused on spectrum sensing, and various spectrum sensing methods have been proposed. However, they do not consider real environment, thus they are hard to achieve the required performance. In this paper, we propose resolutions for the problem which could be occurred in implementation of spectrum sensing module and verify performance of the proposed methods with computer simulation. The first proposed method utilizes channel status information to separate received signal and spurious for reducing false alarm probability caused by system internal spurious. The another proposed scheme is subband normalization method to prevent miss detection caused by multiple narrow band signals with different received signal strength. The simulation results verify that we can prevent false alarm cause by spurious components with the proposed system internal spurious cognition. Moreover, the proposed subband normalization method shows that it could overcome performance degradation caused by received signal strength difference.

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  Cite this article

[IEEE Style]

S. Lim, H. Jung, S. Kim, B. Jeong, "The Signal Detection Algorithms for Reducing False Alarms of CR System in Real Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 8, pp. 529-535, 2011. DOI: .

[ACM Style]

Sun-min Lim, Hoi-yoon Jung, Sang-won Kim, and Byung-Jang Jeong. 2011. The Signal Detection Algorithms for Reducing False Alarms of CR System in Real Environment. The Journal of Korean Institute of Communications and Information Sciences, 36, 8, (2011), 529-535. DOI: .

[KICS Style]

Sun-min Lim, Hoi-yoon Jung, Sang-won Kim, Byung-Jang Jeong, "The Signal Detection Algorithms for Reducing False Alarms of CR System in Real Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 8, pp. 529-535, 8. 2011.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880