@inproceedings{ef3e68b2139a4590a68d82e19e906c13,
title = "Collaborative spectrum allocation and waveform design for radar coexistence",
abstract = "The emerging problem of automotive radars congestion is addressed in this work. Modern automotive radars handle this problem via randomization of the transmit signal parameters. Alternatively, frequency allocation methods lead to narrow-band radar operation and as a result, reduced range resolution. This work proposes to mitigate the mutual interference between radars, while optimizing the localization performance by collaborative spectrum allocation and waveform design. According to the proposed approach, the transmit energy is allocated across the entire available spectrum by minimization of the Weiss-Weinstein bound. The proposed spectrum allocation approach allows to avoid frequencies occupied by interfering radars and the use of the entire spectrum allows to achieve the maximal possible resolution.",
keywords = "Radar coexistence, Spectrum allocation, Waveform design, Weiss-Weinstein bound",
author = "Ishai Eljarat and Joseph Tabrikian and Igal Bilik",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2020 ; Conference date: 08-06-2020 Through 11-06-2020",
year = "2020",
month = jun,
day = "1",
doi = "10.1109/SAM48682.2020.9104313",
language = "English",
series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop, SAM 2020",
address = "United States",
}