Deinterleaving and Clustering unknown RADAR pulses

被引：13
|
作者：
Mottier, Manon [1 ]
Chardon, Gilles [1 ]
Pascal, Frederic [1 ]
机构：
[1] Univ Paris Saclay, CNRS, Cent Supelec, Lab Signaux & Syst, F-91190 Gif Sur Yvette, France
来源：
2021 IEEE RADAR CONFERENCE (RADARCONF21): RADAR ON THE MOVE | 2021年
关键词：
Electronic warfare; clustering; optimal transport;
D O I：
10.1109/RadarConf2147009.2021.9455272
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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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页数：6
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