An Effective Selection of white Gaussian Noise Sub-band using Singular Value Decomposition 


Vol. 34,  No. 3, pp. 272-280, Mar.  2009


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  Abstract

Measurement of the background radio noise is very important process being used in survey of radio noise environment, calculating the threshold level for the frequency occupancy measurement and so forth. First step of background radio noise measurement is to select the sample sub-band which is mostly dominated by the background white Gaussian noise (WGN) within the target band. The second step is to carry out the main measurement of radio noise on this selected sample sub-band for the representative value of the noise power. In this paper, a method for selection of sample sub-band for the effective background radio noise measurement using SVD is proposed under the assumption that background radio noise is WGN. The performance of the proposed method is compared with that of the APD method which is widely used for the same purpose. Simulation results are shown to demonstrate the high performance of the proposed method in comparison with the existing APD method.

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  Cite this article

[IEEE Style]

S. Shin, Y. Kim, S. Kim, M. Suk, "An Effective Selection of white Gaussian Noise Sub-band using Singular Value Decomposition," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 3, pp. 272-280, 2009. DOI: .

[ACM Style]

Seung-min Shin, Young-soo Kim, Sang-tae Kim, and Mi-kyung Suk. 2009. An Effective Selection of white Gaussian Noise Sub-band using Singular Value Decomposition. The Journal of Korean Institute of Communications and Information Sciences, 34, 3, (2009), 272-280. DOI: .

[KICS Style]

Seung-min Shin, Young-soo Kim, Sang-tae Kim, Mi-kyung Suk, "An Effective Selection of white Gaussian Noise Sub-band using Singular Value Decomposition," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 3, pp. 272-280, 3. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880