Open AccessTime‐of‐arrival estimation algorithm for positioning in NB‐IoT physical layer
Author(s) -
Chen ChaoYu,
Li IHsien
Publication year - 2020
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2019.0901
Subject(s) - computer science , narrowband , algorithm , physical layer , power delay profile , frequency domain , time of arrival , noise (video) , time domain , power (physics) , direction of arrival , fast fourier transform , real time computing , wireless , telecommunications , delay spread , fading , artificial intelligence , quantum mechanics , computer vision , antenna (radio) , decoding methods , image (mathematics) , physics
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.