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Conference Papers Year : 2021

Deinterleaving and Clustering unknown RADAR pulses

Manon Mottier
Gilles Chardon

Abstract

In this paper, a two-step methodology is developed to deinterlace RADAR signals. We mainly worked from a data simulator to obtain a large diversity of signals representing typical RADARs. First, a clustering algorithm is used to separate the pulses in the F-PW (Frequency-Pulse Width) plane, then a phase of cluster agglomeration is performed using the cluster output of the previous step as a features for an hierarchical agglomerative clustering combined with optimal transport distances. Results on labeled simulated data are given.
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Dates and versions

hal-03245067 , version 1 (01-06-2021)

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Manon Mottier, Gilles Chardon, Frédéric Pascal. Deinterleaving and Clustering unknown RADAR pulses. IEEE Radar Conference 2021, May 2021, ATLANTA (virtual), United States. ⟨10.1109/radarconf2147009.2021.9455272⟩. ⟨hal-03245067⟩
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