Extension of the MFLRT to detect an unknown deterministic signal using multiple sensors, applied for precipitation detection

Oz Harel, Hagit Messer

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

This letter presents an extension of the Multifamily Likelihood Ratio Test (MFLRT) so it can be applied for detection of a deterministic signal of unknown waveform using measurements from multiple sensors. The extended MFLRT is applied for precipitation detection from noisy measurements of the received signal level (RSL), taken from commercial microwave links (ML). The extended MFLRT shows improved detection performance compared with the existing standard Generalized Likelihood Ratio Test (GLRT), while offering also the ability to estimate the signal waveform.

Original languageEnglish
Article number6560354
Pages (from-to)945-948
Number of pages4
JournalIEEE Signal Processing Letters
Volume20
Issue number10
DOIs
StatePublished - 2013

Keywords

  • Generalized Likelihood Ratio Test
  • Multifamily Likelihood Ratio Test
  • multiple sensors
  • signal detection

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