Detection of weak transient broadband signals using a polynomial subspace and likelihood ratio test approach

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper investigates the detection of a weak transient broadband signal. We compare a polynomial subspace detection approach to a likelihood ratio test. While the later is statistically optimal, there may be reasons of computational efficiency and numerical robustness to combine such a likelihood ratio test with the subspace approach. We provide a review of these methods, highlight some of their similarities and differences, and demonstrate in simulations that in particular in the case of detecting very weak signals or signals in very dispersive environments, there may be a compelling argument for combining the likelihood ratio test with a subspace approach.
Original languageEnglish
Pages1-5
Number of pages5
Publication statusAccepted/In press - 22 May 2024
Event32nd European Signal Processing Conference - Lyon Convention Centre, Lyon, France
Duration: 26 Aug 202430 Aug 2024
https://eusipcolyon.sciencesconf.org/

Conference

Conference32nd European Signal Processing Conference
Abbreviated titleEUSIPCO'24
Country/TerritoryFrance
CityLyon
Period26/08/2430/08/24
Internet address

Keywords

  • likelihood ratio
  • subspace approach
  • signal

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