Improvement of Computational Speed for the SVD Background Clutter Signal Subtraction Algorithm in IR-UWB Radar Systems 


Vol. 38,  No. 1, pp. 89-96, Jan.  2013


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  Abstract

This paper presents an improved clutter signal removal algorithm using Singular Value Decomposition(SVD). For indoor positioning system using IR-UWB Radar, the target signal is extracted from received signal. We use clutter signal removal algorithm using SVD for target signal extraction. Clutter signal removal algorithm using SVD has the advantage of operation but the disadvantage of high computational complexity. In this paper, we propose a method to improve computational complexity. As the experimental results, it is confirmed that the method presented in this paper improve the computational complexity of clutter removal algorithm using SVD.

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  Cite this article

[IEEE Style]

I. S. Baek, M. K. Jung, S. H. Cho, "Improvement of Computational Speed for the SVD Background Clutter Signal Subtraction Algorithm in IR-UWB Radar Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 1, pp. 89-96, 2013. DOI: .

[ACM Style]

In Seok Baek, Moon Kwun Jung, and Sung Ho Cho. 2013. Improvement of Computational Speed for the SVD Background Clutter Signal Subtraction Algorithm in IR-UWB Radar Systems. The Journal of Korean Institute of Communications and Information Sciences, 38, 1, (2013), 89-96. DOI: .

[KICS Style]

In Seok Baek, Moon Kwun Jung, Sung Ho Cho, "Improvement of Computational Speed for the SVD Background Clutter Signal Subtraction Algorithm in IR-UWB Radar Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 1, pp. 89-96, 1. 2013.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880