@inproceedings{30866655171f4f13a47ab0f65ad54abd,
title = "Range Estimation in Frequency-Selective Propagation Environment for Terahertz Automotive Radar",
abstract = "Autonomous driving and highly-automated ad-vanced driver assistance systems (ADAS) require high-resolution information on the host vehicle's surroundings. Therefore, high-resolution capabilities are required in range, Doppler, azimuth, and elevation. Radar systems at the Terahertz (THz) frequency band have the potential of providing high (nearly-optical) reso-lution in these parameters while being compact and lightweight. One of the THz frequency band challenges is the frequency-selective propagation, which results in degraded performance. This work investigates the effect of frequency-selective channel response on range estimation. We compare the cases where the frequency-selective channel response is misspecified and assumed to be flat with the case of perfectly-known channel response. It is shown that frequency-selective misspecification results in lower accuracy and higher threshold signal-to-noise ratio, which reduces the detection range.",
keywords = "Automotive radar, THz Radar, frequency-selective propagation, range estimation",
author = "Joseph Tabrikian and Igal Bilik",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 ; Conference date: 20-06-2022 Through 23-06-2022",
year = "2022",
month = jan,
day = "1",
doi = "10.1109/SAM53842.2022.9827896",
language = "English",
series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "76--80",
booktitle = "2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022",
address = "United States",
}