Ultra-WideBand Channel Measurement with Compressive Sampling for Indoor Localization 


Vol. 40,  No. 2, pp. 285-297, Feb.  2015


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  Abstract

In this paper, Ulta-WideBand (UWB) channel measurement and modeling based on compressive sampling (CS) are proposed. The sparsity of the channel impulse response (CIR) of the UWB signal in frequency domain enables the proposed channel measurement to have a low-complexity and to provide a comparable performance compared with the existing approaches especially used for the indoor geo-localization purpose. Furthermore, to improve the performance under noisy situation, the soft thresholding method is also investigated in solving the optimization problem for signal recovery of CS. Via numerical results, the proposed channel measurement and modeling are evaluated with the real measured data in terms of location estimation error, bandwidth, and compression ratio for indoor geo-localization using UWB system.

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  Cite this article

[IEEE Style]

S. Kim, J. Myung, J. Kang, T. Sung, K. Lee, "Ultra-WideBand Channel Measurement with Compressive Sampling for Indoor Localization," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 2, pp. 285-297, 2015. DOI: .

[ACM Style]

Sujin Kim, Jungho Myung, Joonhyuk Kang, Tae-Kyung Sung, and Kwang-Eog Lee. 2015. Ultra-WideBand Channel Measurement with Compressive Sampling for Indoor Localization. The Journal of Korean Institute of Communications and Information Sciences, 40, 2, (2015), 285-297. DOI: .

[KICS Style]

Sujin Kim, Jungho Myung, Joonhyuk Kang, Tae-Kyung Sung, Kwang-Eog Lee, "Ultra-WideBand Channel Measurement with Compressive Sampling for Indoor Localization," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 2, pp. 285-297, 2. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880