DocumentCode :
2222504
Title :
Mixed SSR sources separation exploiting sparsity: a geometrical approach
Author :
Piracci, Emilio G. ; Petrochilos, Nicolas ; Galati, Gaspare
Author_Institution :
DISP, CVV Tor Vergata Univ., Rome, Italy
fYear :
2009
fDate :
Sept. 30 2009-Oct. 2 2009
Firstpage :
85
Lastpage :
88
Abstract :
The aim of this work is to discriminate and separate overlapped downlink SSR signals received by a multilateration (MLAT) station in a crowded environment. As a typical MLAT receiver station is equipped with an omni directional antenna, the probability of multiple receptions increases as a function of the traffic density. The proposed algorithm is conceived for a multi channel receiver with garbled signals discrimination/separation capabilities. Taking advantage of the sparsity characteristics of the MLAT signals (Mode S) our approach faces the problem under a geometrical outline.
Keywords :
radio receivers; receiving antennas; signal processing; telecommunication links; downlink SSR signal; garbled signal discrimination; multichannel receiver station; multilateration station; multiple reception; omnidirectional antenna; sparsity characteristics; traffic density; Aircraft; Clouds; Directional antennas; Downlink; Pulse modulation; Radar; Space technology; Surveillance; Transponders; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2009. EuRAD 2009. European
Conference_Location :
Rome
Print_ISBN :
978-1-4244-4747-3
Type :
conf
Filename :
5307029
Link To Document :
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