Title :
Analysis of SSR signals by super resolution algorithms
Author :
Galati, Gaspare ; Bartolini, Simone ; Mené, Luca
Author_Institution :
DISP & Vito Volterra Centre, Tor Vergata Univ., Rome, Italy
Abstract :
A new method for SSR (secondary surveillance radar) signal analysis, in particular SSR Mode S replies, can be obtained exploiting the super resolution algorithms capability to discriminate signals in the frequency domain. This work summarises the results obtained by the application of Tufts-Kumaresan, Music, Esprit and Unitary Esprit algorithms to decode Mode S replies and squitters acquired in a live environment. Hence, we propose 16 possible processing schemes which, compared to conventional schemes, have shown sensible improvements. It results that the main limit is represented by the quality of the on board transponder local oscillator which causes a too small spectral separation between two overlapped signals.
Keywords :
decoding; frequency-domain analysis; radar receivers; radar resolution; search radar; transponders; Music algorithms; SSR; SSR Mode S replies; Tufts-Kumaresan algorithms; Unitary Esprit algorithm; decoding; frequency domain analysis; local oscillator; secondary surveillance radar; signal analysis; super resolution algorithm; transponder; Algorithm design and analysis; Decoding; Local oscillators; Pulse modulation; Radar; Signal analysis; Signal resolution; Signal to noise ratio; Surveillance; Transponders;
Conference_Titel :
Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on
Print_ISBN :
0-7803-8689-2
DOI :
10.1109/ISSPIT.2004.1433713
