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| Titel |
Using Markov switching models to infer dry and rainy periods from telecommunication microwave link signals |
| VerfasserIn |
Z. Wang, M. Schleiss, J. Jaffrain, A. Berne, J. Rieckermann |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 5, no. 7 ; Nr. 5, no. 7 (2012-07-31), S.1847-1859 |
| Datensatznummer |
250003020
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| Publikation (Nr.) |
 copernicus.org/amt-5-1847-2012.pdf |
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| Zusammenfassung |
| 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. |
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