DocumentCode :
3309057
Title :
Airborne targets detection using weather radar
Author :
Rzewuski, Stanislaw ; Kulpa, Krzysztof ; Gromek, Artur
Author_Institution :
Inst. of Electron. Syst. (ISE), Warsaw Univ. of Technol., Warsaw, Poland
fYear :
2015
fDate :
10-12 June 2015
Firstpage :
1
Lastpage :
4
Abstract :
This paper describes airborne targets detection possibilities using weather radar signals. During last two decades air traffics increased significantly. The airborne target like airplane or helicopter is a fast moving object on the radar horizon which gives strong Doppler echoes in received signal. In this paper we would like to show the results of simple processing echo from weather radar on Legionowo and show detected targets, which in our opinion are airborne. Airborne target can be a problem for the radar since it is a source of additional interference especially in wind farm regions. From the other side the weather radar systems after detecting airborne target like small airplane or large bird may share that information with Air Traffic Control systems extending Air Traffic Control knowledge about the airspace situation. Even if the weather radar from it´s capabilities gives poor resolution of detecting airborne targets it is better to have any poor quality information about the target than no information at all. Airborne target detection possibility using weather radar will be discussed in this paper.
Keywords :
Doppler radar; air traffic control; airborne radar; echo; meteorological radar; radar cross-sections; radar detection; Legionowo; air traffic control knowledge; air traffic control systems; airborne targets detection; airplane; airspace situation; fast moving object; helicopter; radar horizon; strong Doppler echoes; weather radar signals; wind farm regions; Airborne radar; Doppler radar; Meteorological radar; Meteorology; Radar antennas; Radar cross-sections; aircraft interferences; weather radar data processing; weather radar interferences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Symposium (SPSympo), 2015
Conference_Location :
Debe
Type :
conf
DOI :
10.1109/SPS.2015.7168305
Filename :
7168305
Link To Document :
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