@inproceedings{ab0b38b05ddd475baf3f215725d2117f,
title = "Millimeter wave based sag measurement using parabolic approximation for smart grid overhead transmission line monitoring",
abstract = "Power transmission monitoring and control are essential components of a smart grid. Power transmission capacity of an overhead transmission line is greatly dependent on the sag of the line. When the sag is lower, more power can be transmitted safely through the line. Due to this, real-time sag measurement and monitoring is important for effective transmission of power through the line. In this paper, a mmWave based sag measurement technique incorporating parabolic approximation is proposed which improves the accuracy of sag calculation. Impact of different system parameters on the calculated value of the sag is also investigated. The results show that the proposed method can achieve better accuracy even with smaller number of samples, though the accuracy degrades with error in angle of arrival.",
keywords = "Angle of arrival, MmWave, Number of samples, Received power, Sag",
author = "Mahin, {Ayman Uddin} and Islam, {S. N.} and Hossain, {Md Farhad}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019 ; Conference date: 21-10-2019 Through 23-10-2019",
year = "2019",
month = oct,
doi = "10.1109/SmartGridComm.2019.8909707",
language = "English",
series = "2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "1--5",
booktitle = "2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019",
address = "United States",
}