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Coherent sources separation based on sparsity: an application to SSR signals

Published online by Cambridge University Press:  15 May 2009

Nicolas Petrochilos ,
Gaspare Galati  and
Emilio Piracci
Nicolas Petrochilos*
Affiliation:
JABSOM, University of Hawai'i, 1356 Lusitana Street, 7th Floor, Honolulu, HI 96813, USA.
Gaspare Galati
Affiliation:
DISP and V. Volterra Center, Tor Vergata Uni., Via del Politecnico, 1-00133 Roma, Italy.
Emilio Piracci
Affiliation:
DISP and V. Volterra Center, Tor Vergata Uni., Via del Politecnico, 1-00133 Roma, Italy.
*
Corresponding author: N. Petrochilos Email: petro@ieee.org
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Abstract

Systems based on secondary surveillance radar (SSR) downlink signals, both with directional and with omni-directional antennae (such as in multilateration), are operational today and more and more installations are being planned. In this frame, high-density traffic leads to the reception of a mixture of several overlapping SSR replies. By nature, SSR sources are sparse, i.e. with amplitude equal to zero with significantly high probability. While in the literature several algorithms performing sources separation with an m-element antenna have been proposed, none has satisfactorily employed the full potential of sparsity for SSR signals. Most sparsity algorithms can separate only real-valued sources, although we present in this study two algorithms to separate the complex-valued SSR sources. Recorded signals in a live environment are used to demonstrate the effectiveness of the proposed techniques.

Keywords

Secondary surveillance radararray processingblind source separationsparsityair traffic control
Type
Original Article
Information
International Journal of Microwave and Wireless Technologies , Volume 1 , Special Issue 3: Surveillance systems for air and airport traffic control , June 2009 , pp. 185 - 191
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2009

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References

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