Time-of-arrival estimation algorithm for positioning in NB-IoT physical layer

Chao Yu Chen; I. Hsien Li

doi:10.1049/iet-com.2019.0901

Time-of-arrival estimation algorithm for positioning in NB-IoT physical layer

Chao Yu Chen, I. Hsien Li

Department of Engineering Science

Research output: Contribution to journal › Article › peer-review

Abstract

In this study, the authors propose a new time-of-arrival (ToA) algorithm for positioning in the physical layer of narrowband Internet-of-Things (NB-IoT) technology. This algorithm estimates the ToA of transmitted narrowband positioning reference signals (NPRSs) by detecting the first valid tap of estimated power delay profile (PDP). They estimate the PDP as well as the noise power in the time domain via inverse Fast Fourier transformation of received frequency-domain NPRSs. The accuracy of the estimated noise power is crucial in the ToA estimation since the SNR is extremely low in typical NB-IoT scenarios. The simulations show that the proposed ToA estimation method outperforms the conventional method and performs well in various scenarios.

Original language	English
Journal	IET Communications
Volume	14
Issue number	11
DOIs	https://doi.org/10.1049/iet-com.2019.0901
Publication status	Published - 2020 Jul 14

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering

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title = "Time-of-arrival estimation algorithm for positioning in NB-IoT physical layer",

abstract = "In this study, the authors propose a new time-of-arrival (ToA) algorithm for positioning in the physical layer of narrowband Internet-of-Things (NB-IoT) technology. This algorithm estimates the ToA of transmitted narrowband positioning reference signals (NPRSs) by detecting the first valid tap of estimated power delay profile (PDP). They estimate the PDP as well as the noise power in the time domain via inverse Fast Fourier transformation of received frequency-domain NPRSs. The accuracy of the estimated noise power is crucial in the ToA estimation since the SNR is extremely low in typical NB-IoT scenarios. The simulations show that the proposed ToA estimation method outperforms the conventional method and performs well in various scenarios.",

author = "Chen, {Chao Yu} and {Hsien Li}, I.",

note = "Funding Information: This work was supported by the Ministry of Science and Technology, Taiwan, R.O.C., under Grant MOST 107-2221-E-006-065-MY2.",

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AU - Chen, Chao Yu

AU - Hsien Li, I.

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N2 - In this study, the authors propose a new time-of-arrival (ToA) algorithm for positioning in the physical layer of narrowband Internet-of-Things (NB-IoT) technology. This algorithm estimates the ToA of transmitted narrowband positioning reference signals (NPRSs) by detecting the first valid tap of estimated power delay profile (PDP). They estimate the PDP as well as the noise power in the time domain via inverse Fast Fourier transformation of received frequency-domain NPRSs. The accuracy of the estimated noise power is crucial in the ToA estimation since the SNR is extremely low in typical NB-IoT scenarios. The simulations show that the proposed ToA estimation method outperforms the conventional method and performs well in various scenarios.

AB - In this study, the authors propose a new time-of-arrival (ToA) algorithm for positioning in the physical layer of narrowband Internet-of-Things (NB-IoT) technology. This algorithm estimates the ToA of transmitted narrowband positioning reference signals (NPRSs) by detecting the first valid tap of estimated power delay profile (PDP). They estimate the PDP as well as the noise power in the time domain via inverse Fast Fourier transformation of received frequency-domain NPRSs. The accuracy of the estimated noise power is crucial in the ToA estimation since the SNR is extremely low in typical NB-IoT scenarios. The simulations show that the proposed ToA estimation method outperforms the conventional method and performs well in various scenarios.

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Time-of-arrival estimation algorithm for positioning in NB-IoT physical layer

Abstract

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