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

被引:3
|
作者
Chen, Chao-Yu [1 ]
Li, I-Hsien [1 ]
机构
[1] Natl Cheng Kung Univ, Dept Engn Sci, Tainan, Taiwan
关键词
Internet of Things; fast Fourier transforms; frequency-domain analysis; time-of-arrival estimation; time-domain analysis; 3G mobile communication; inverse transforms; PDP; time domain; inverse fast Fourier transformation; estimated noise power; ToA estimation method; time-of-arrival estimation algorithm; NB-IoT physical layer; Internet-of-Things technology; power delay profile estimation; narrowband positioning reference signals; received frequency-domain NPRS;
D O I
10.1049/iet-com.2019.0901
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
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.
引用
收藏
页码:1822 / 1826
页数:5
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