@inproceedings{037666195c8541f9a98a643194309eb6,
title = "On Wilks' Theorem for Generalized Likelihood Ratio Test Performance of Cooperative Radar-Communications",
abstract = "The analysis of the generalized likelihood ratio test (GLRT) radar receiver when the radar is coexisting with a cooperative in-band communication (comm.) system is challenged by the discrete nature of the comm. symbols. While the asymptotic performance of the GLRT can be well-approximated by using the Fisher information matrix (FIM) for the Cram{\'e}r-Rao bound (CRB) via Wilks' theorem, this only applies when the underlying data distribution for each hypothesis is continuous in the parameters. Thus, to accommodate the discrete nature of the comm. symbols an adaptation to Wilks' theorem is proposed in this work that uses the constrained CRB (CCRB) in place of the usual unconstrained CRB. ",
keywords = "constrained CRB, Cooperative radar-communications, Cram{\'e}r-Rao bound (CRB), GLRT, maximum-likelihood, radar detection, RF convergence, shared spectrum, Wilks",
author = "Touseef Ali and Bondre, {Akshay S.} and Richmond, {Christ D.}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2020 IEEE Radar Conference, RadarConf 2020 ; Conference date: 21-09-2020 Through 25-09-2020",
year = "2020",
month = sep,
day = "21",
doi = "10.1109/RadarConf2043947.2020.9266344",
language = "English (US)",
series = "IEEE National Radar Conference - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE Radar Conference, RadarConf 2020",
}