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Deinterleaving and Clustering unknown RADAR pulses

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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https://hal-centralesupelec.archives-ouvertes.fr/hal-03245067
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Submitted on : Tuesday, June 1, 2021 - 3:32:33 PM
Last modification on : Wednesday, September 8, 2021 - 11:16:03 AM
Long-term archiving on: : Thursday, September 2, 2021 - 7:30:06 PM

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  • HAL Id : hal-03245067, version 1

Citation

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

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