Sequential Monte-Carlo Methods for Radar Pulse Train Deinterleaving

J.-J. Szkolnik and A. Quinquis (France)


Radar, Kalman filtering, particle filter, Monte-Carlo methods, deinterleaving, Electronic warfare


: The present paper proposes new methods developed in the general framework of data train processing, whose an essential application concerns the electronic warfare and more particularly the information extraction from intercepted radar interpulse measurements. The present study considers two technical analysis main objectives for impulsive radar exclusively. The first one consists in extracting transmitters, i.e. separating data flow in so much distinct flows that emission sources and the second in characterizing intercepted signals, i.e. estimation of laws and signal parameter evolution.

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