@inproceedings{4abcb34418414d9e92903a0e1676e8ff,
title = "Behavioral amplifier modeling for radar simulation with application to nonlinear effects of multiple impinging signals",
abstract = "Due to the complex nature and scale of radar system simulations, especially when many entities are involved, many components of subsystems are simplified to make the analysis tractable. However, this loss in fidelity can have adverse effects that are unexpected, especially when it comes to detection probabilities and target state estimation. In the RF environment in which future radar systems will coexist, the scarcity of available RF spectrum will force the radars to increasingly coexist with existing systems. In this work we survey the issues relevant to RF amplifier modeling and show that the frequently-applied simplifying assumption of amplifier linearity can have drastic effects in many realistic scenarios. Amplifier modeling approaches are discussed and a practical measurement scheme is presented.",
keywords = "Cognitive radar, Radar detection, Radar equipment, Radar signal processing, Systems modeling, Systems simulation",
author = "Cooke, {Corey D.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Radar Conference, RadarConf 2017 ; Conference date: 08-05-2017 Through 12-05-2017",
year = "2017",
month = jun,
day = "7",
doi = "10.1109/RADAR.2017.7944218",
language = "English",
series = "2017 IEEE Radar Conference, RadarConf 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "308--313",
booktitle = "2017 IEEE Radar Conference, RadarConf 2017",
}