Skip to Main content Skip to Navigation
New interface
Conference papers

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.
Complete list of metadata
Contributor : Manon Mottier Connect in order to contact the contributor
Submitted on : Tuesday, June 1, 2021 - 3:32:33 PM
Last modification on : Sunday, June 26, 2022 - 3:08:56 AM
Long-term archiving on: : Thursday, September 2, 2021 - 7:30:06 PM


Review submission - MOTTIER Ma...
Files produced by the author(s)


  • HAL Id : hal-03245067, version 1


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



Record views


Files downloads