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