J. Lehtomäki, K. Umebayashi, A. Al-Tahmeesschi and M. Juntti, "Distance Estimation Based on Molecular Absorption at THz Frequencies," 2022 IEEE Globecom Workshops (GC Wkshps), Rio de Janeiro, Brazil, 2022, pp. 1598-1603, doi: 10.1109/GCWkshps56602.2022.10008515.
Distance estimation based on molecular absorption at THz frequencies
|Author:||Lehtomäki, Janne1; Umebayashi, Kenta2; Al-Tahmeesschi, Ahmed3;|
1Centre for Wireless Communications (CWC), University of Oulu, Finland
2Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology (TUAT), Japan
3Department of Computer Science, University of Helsinki, Finland
|Online Access:||PDF Full Text (PDF, 0.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2023032232840
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2023-03-22
One of the main approaches for distance estimation is the received signal strength (RSS) based techniques. Their drawbacks include the requirement of accurate knowledge of the transmit power and antenna gains. Also, the traditional RSS-based techniques do not take into account the molecular absorption that occurs at terahertz frequencies. In this paper, we propose a distance estimation method for the line-of-sight case that actually takes advantage of the molecular absorption. The proposed method measures the RSS at two frequencies and does not require known transmit powers and antenna gains, which are assumed to be almost the same at the two frequencies. Therefore, the two frequencies have to be relatively close to each other. The proposed distance estimation method calculates the difference of the received powers (in the dB domain) at the two frequencies and finds the link distance based on it and the humidity level.
|Pages:||1598 - 1603|
2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 : Proceedings
IEEE GLOBECOM Workshops
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported by the Academy of Finland 6Genesis Flagship (grant no. 318927).
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists,
or reuse of any copyrighted component of this work in other works.