Classification and Prediction of Lower Troposphere Layers Influence on RF Propagation Using Artificial Neural Networks-Reference-Cited by-同舟云学术

Classification and Prediction of Lower Troposphere Layers Influence on RF Propagation Using Artificial Neural Networks

Published:2009 Issue: Volume: Page:893-900
ISSN:0302-9743
Container-title:Advances in Neuro-Information Processing
language:
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Author:

Mudroch Martin,Pechac Pavel,Grábner Martin,Kvicera Václav

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-02490-0_109

Reference5 articles.

1. Grabner, M., Kvicera, V.: Statistics of Lower Atmosphere Refractivity in Czechia. In: Proc. of Asia Pacific Microwave Conference 2005, Suzhou, China (2005)

2. Allen, K.C., Ott, R.H., Violette, E.J., Espeland, R.H.: Height-Gain Study for 23 km Links at 9.6, 11.4, and 28.8 GHz. IEEE Trans. Antennas Propag. 30, 734–740 (1982)

3. Lam, W.I., Webster, A.R.: Microwave Propagation on Two Line-of-Sight Oversea Paths. IEEE Trans. Antennas Propagat. 33, 510–516 (1985)

4. Webster, A.R.: Multipath Angle-of-Arrival Measurements on Microwave Line-of-Sight Links. IEEE Trans. Antennas Propagat. 39, 798–803 (1991)

5. Mudroch, M., Grabner, P., Kvicera, V., Hudec, P., Bedrna, P., et al.: An Experimental Study of the Lowest Troposphere Layers at 10 GHz - First Results. In: Proceedings of the 14th Conference on Microwave Techniques COMITE 2008, Praha, pp. 73–76 (2008)

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