Using Markov switching models to infer dry and rainy periods from telecommunication microwave link signals

A Markov switching algorithm is introduced to classify attenuation measurements from telecommunication microwave links into dry and rainy periods. It is based on a simple state-space model and has the advantage of not relying on empirically estimated threshold parameters. The algorithm is applied to...

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Bibliographic Details
Published inAtmospheric measurement techniques Vol. 5; no. 7; pp. 1847 - 1859
Main Authors Wang, Z, Schleiss, M, Jaffrain, J, Berne, A, Rieckermann, J
Format Journal Article
LanguageEnglish
Published Katlenburg-Lindau Copernicus GmbH 31.07.2012
Copernicus Publications
Subjects
Algorithms
Comparative analysis
Microwave communications
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Summary:A Markov switching algorithm is introduced to classify attenuation measurements from telecommunication microwave links into dry and rainy periods. It is based on a simple state-space model and has the advantage of not relying on empirically estimated threshold parameters. The algorithm is applied to data collected using a new and original experimental set-up in the vicinity of Zürich, Switzerland. The false dry and false rain detection rates of the algorithm are evaluated and compared to 3 other algorithms from the literature. The results show that, on average, the Markov switching model outperforms the other algorithms. It is also shown that the classification performance can be further improved if redundant information from multiple channels is used.
ISSN:1867-8548
1867-1381
1867-8548
DOI:10.5194/amt-5-1847-2012