@inproceedings{4910cad8295048b8a7f75f4a28010d81,
title = "Cognitive software defined radar: A reactive approach to RFI avoidance",
abstract = "The need for radar systems to autonomously adapt to their environment is growing along with the desire for utilizing more bandwidth. However, the RF spectrum will only continue to become more crowded. A cognitive radar system with the functionality to sense and avoid other RF signals in the radar's frequency band of interest is presented. In order to meet this challenge, the radar system developed is capable of sensing and avoiding time varying signals that change on the order of tens of milliseconds. This paper outlines the cognitive radar system design with an emphasis on system timing. The paper also describes a hardware implemented test bed for analyzing the cognitive sense and avoid algorithm with various communication signals as interference.",
author = "Kirk, {Benjamin H.} and Gallagher, {Kyle A.} and Owen, {Jonathan W.} and Narayanan, {Ram M.} and Martone, {Anthony F.} and Sherbondy, {Kelly D.}",
note = "Funding Information: This work was supported by Army Research Office (ARO) grant W911NF-15-2-0066 kindly provided by Dr. Joe Qiu. The authors would also like to thank Jacob Kovarskiy for his aid in collection and generation of synthetic RFI. Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Radar Conference, RadarConf 2018 ; Conference date: 23-04-2018 Through 27-04-2018",
year = "2018",
month = jun,
day = "8",
doi = "10.1109/RADAR.2018.8378632",
language = "English (US)",
series = "2018 IEEE Radar Conference, RadarConf 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "630--635",
booktitle = "2018 IEEE Radar Conference, RadarConf 2018",
address = "United States",
}