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

Oz Harel; Hagit Messer

doi:10.1109/LSP.2013.2273455

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 journal › Article › peer-review

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 language	English
Article number	6560354
Pages (from-to)	945-948
Number of pages	4
Journal	IEEE Signal Processing Letters
Volume	20
Issue number	10
DOIs	https://doi.org/10.1109/LSP.2013.2273455
State	Published - 2013
Externally published	Yes

Keywords

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

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10.1109/LSP.2013.2273455

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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.",

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author = "Oz Harel and Hagit Messer",

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AB - 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.

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

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