DocumentCode
3390544
Title
Decoding techniques for SSR Mode S signals in high traffic environment
Author
Galati, Gaspare ; Gasbarra, Maurizio ; Piracci, Emilio G.
Author_Institution
DISP, Tor Vergata Univ., Rome
fYear
2005
fDate
6-7 Oct. 2005
Firstpage
383
Lastpage
386
Abstract
SSR (secondary surveillance radar) exploitation in high traffic environment calls for enhancing surveillance and communication capacity. In the multilateration applications, the use of omni directional (or, anyway, wide beam) antennas and the presence of both SSR Mode S replies and squitter make the superimposition of 1090 MHz signals probable, without mentioning the presence of Modes A/C signals on the same band. These limitations in SSR signal analysis and decoding, can be mitigated by using both classical (i.e. linear) algorithms and by exploiting the super resolution algorithms capability to discriminate signals in the frequency domain. This work summarises the results obtained by the application of both classical and super resolution (i.e. Music, Esprit) algorithms to decode overlapped Mode S replies and squitters acquired in a live environment. Moreover, it is recognized that the main limit for super resolution is represented by the "too high" quality of the on board transponder local oscillator which causes a too small spectral separation between two overlapped signals, and a possible solution is presented for vehicles
Keywords
air traffic; decoding; radar signal processing; search radar; SSR Mode S signals; decoding techniques; high traffic environment; multilateration applications; secondary surveillance radar; spectral separation; super resolution algorithms; transponder local oscillator; Decoding; Directive antennas; Frequency domain analysis; Local oscillators; Radar antennas; Signal analysis; Signal resolution; Surveillance; Transponders; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 2005. EURAD 2005. European
Conference_Location
Paris
Print_ISBN
2-9600551-3-6
Type
conf
DOI
10.1109/EURAD.2005.1605644
Filename
1605644
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