scholarly journals Gain equalization of EDFA using a loop f ilter with a single polarization controller

2012 ◽  
Vol 10 (7) ◽  
pp. 070604-70607 ◽  
Author(s):  
Kejiang Zhou Kejiang Zhou ◽  
Shuming Pan Shuming Pan ◽  
Nam Quoc Ngo Nam Quoc Ngo ◽  
Xulin Zhang Xulin Zhang
2004 ◽  
Author(s):  
Yoshiaki Kisaka ◽  
Masahito Tomizawa ◽  
Mikio Yoneyama ◽  
Shoichiro Kuwahara ◽  
Yutaka Miyamoto

2005 ◽  
Vol 17 (12) ◽  
pp. 2574-2576 ◽  
Author(s):  
C. Antonelli ◽  
A. Mecozzi ◽  
M. Boroditsky

2021 ◽  
Vol 13 (10) ◽  
pp. 1989
Author(s):  
Raphaël Nussbaumer ◽  
Baptiste Schmid ◽  
Silke Bauer ◽  
Felix Liechti

Recent and archived data from weather radar networks are extensively used for the quantification of continent-wide bird migration patterns. While the process of discriminating birds from weather signals is well established, insect contamination is still a problem. We present a simple method combining two Doppler radar products within a Gaussian mixture model to estimate the proportions of birds and insects within a single measurement volume, as well as the density and speed of birds and insects. This method can be applied to any existing archives of vertical bird profiles, such as the European Network for the Radar surveillance of Animal Movement repository, with no need to recalculate the huge amount of original polar volume data, which often are not available.


2019 ◽  
Vol 11 (12) ◽  
pp. 1436 ◽  
Author(s):  
Skripniková ◽  
Řezáčová

The comparative analysis of radar-based hail detection methods presented here, uses C-band polarimetric radar data from Czech territory for 5 stormy days in May and June 2016. The 27 hail events were selected from hail reports of the European Severe Weather Database (ESWD) along with 21 heavy rain events. The hail detection results compared in this study were obtained using a criterion, which is based on single-polarization radar data and a technique, which uses dual-polarization radar data. Both techniques successfully detected large hail events in a similar way and showed a strong agreement. The hail detection, as applied to heavy rain events, indicated a weak enhancement of the number of false detected hail pixels via the dual-polarization hydrometeor classification. We also examined the performance of hail size detection from radar data using both single- and dual-polarization methods. Both the methods recognized events with large hail but could not select the reported events with maximum hail size (diameter above 4 cm).


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