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Asymptotic distribution of generalized likelihood ratio test under model misspecification with application to cooperative radar-communications

  • Akshay S. Bondre
  • , Christ D. Richmond

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The goal of this paper is to develop an expression for the asymptotic distribution of the generalized likelihood ratio test (GLRT) statistic under model misspecification, that is when the assumed data model is different from the true model. Under such a scenario, the asymptotic distribution under the null hypothesis was by derived by Foutz and Srivastava. A general expression for this distribution under the null as well as the alternative hypothesis under model misspecification has been derived in this paper, on the same lines as the derivation provided by Kay for the case when there is no model misspecification. Using this expression, the asymptotic receiver operating characteristic (ROC) performance of a cooperative radar-communications receiver has been analyzed, when the communications (comms.) channel gains are assumed to be constant, but in reality may vary with time.

Original languageEnglish (US)
Title of host publication2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8463-8467
Number of pages5
ISBN (Electronic)9781728176055
DOIs
StatePublished - 2021
Event2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 - Virtual, Toronto, Canada
Duration: Jun 6 2021Jun 11 2021

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2021-June

Conference

Conference2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021
Country/TerritoryCanada
CityVirtual, Toronto
Period6/6/216/11/21

Keywords

  • Asymptotic distribution
  • Cooperative radar-comms. system
  • GLRT
  • Model misspecification

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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