Performance Enhancement of Observed TDOA Based IoT Terminal Localization Using Oversampling in Narrow-Band-IoT Networks 


Vol. 43,  No. 10, pp. 1576-1584, Oct.  2018
10.7840/kics.2018.43.10.1576


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  Abstract

As various technologies using location information are studied, their importance is increasing. This phenomenon applies equally to LPWA communications for IoT, such as NB-IoT, as the upcoming 5G commercialization. However, the typical NB-IoT signal has a fundamental limit of wide sample interval in OTDOA based localization due to narrowband and low sampling rate according to Nyquist"s sampling theory. In this paper, we implemented an OTDOA based localization algorithm using NB-IoT signal and proposed a method to reduce sample interval by oversampling to overcome localization performance limit. In this paper, we propose a sampling rate which can satisfy both the localization performance and the power consumption reduction by analyzing the distance estimation performance from the base station to the terminal and the OTDOA - based localization performance in the multiple base stations through MATLAB simulation.

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  Cite this article

[IEEE Style]

M. Jeong, J. Na, J. Moon, S. Kim, "Performance Enhancement of Observed TDOA Based IoT Terminal Localization Using Oversampling in Narrow-Band-IoT Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 10, pp. 1576-1584, 2018. DOI: 10.7840/kics.2018.43.10.1576.

[ACM Style]

Minsoo Jeong, Jeehyeon Na, Jungmo Moon, and Sunwoo Kim. 2018. Performance Enhancement of Observed TDOA Based IoT Terminal Localization Using Oversampling in Narrow-Band-IoT Networks. The Journal of Korean Institute of Communications and Information Sciences, 43, 10, (2018), 1576-1584. DOI: 10.7840/kics.2018.43.10.1576.

[KICS Style]

Minsoo Jeong, Jeehyeon Na, Jungmo Moon, Sunwoo Kim, "Performance Enhancement of Observed TDOA Based IoT Terminal Localization Using Oversampling in Narrow-Band-IoT Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 10, pp. 1576-1584, 10. 2018. (https://doi.org/10.7840/kics.2018.43.10.1576)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880