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

Chao Yu Chen, I. Hsien Li

研究成果: Article同行評審

3 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)1821-1825
頁數5
期刊IET Communications
14
發行號11
DOIs
出版狀態Published - 2020 7月 14

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 電氣與電子工程

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