In this article, we present a new paradigm for the deinterleaving of radar signals in electronic support systems. Traditional systems observe the electromagnetic spectrum for a longer period of time and perform the deinterleaving operation batchwise. This article presents a new approach, where the deinterleaving is performed after each detected radar pulse, which we call pulse-to-pulse incremental deinterleaving. It enables minimum reaction time of the system for the detection of radar emitters. For that purpose this article presents three incremental clustering algorithms based on DBSCAN, adaptive resonance theory, and the leader approach. The algorithms are evaluated using simulated PDW data of realistic complex radar scenes. The results show that incremental approaches can achieve a similar accuracy as nonincremental methods, but have much faster reaction times to the occurrence of new emitters.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Incremental Deinterleaving of Radar Emitters


    Contributors:


    Publication date :

    2023-08-01


    Size :

    2509504 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Deinterleaving RADAR Emitters With Optimal Transport Distances

    Mottier, Manon / Chardon, Gilles / Pascal, Frederic | IEEE | 2024



    Deep ToA Mask-Based Recursive Radar Pulse Deinterleaving

    Xiang, Haoran / Shen, Furao / Zhao, Jian | IEEE | 2023


    An Enhanced Algorithm for Deinterleaving Mixed Radar Signals

    Cheng, Wenhai / Zhang, Qunying / Dong, Jiaming et al. | IEEE | 2021


    Image Segmentation for Radar Signal Deinterleaving Using Deep Learning

    Nuhoglu, Mustafa Atahan / Alp, Yasar Kemal / Ulusoy, Mehmet Ege Can et al. | IEEE | 2023