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Practical Application of Clustering Methods in Radar Signals Recognition System

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Data-Centric Business and Applications

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 48))

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Abstract

The system of radar signals detection, analysis and recognition was described. The modern electronic recognition systems should react fast and with great accuracy in the extremely complex electromagnetic environment. The binary decision tree was applied at the beginning of grouping signals received from unknown sources. The paper presents some clustering methods to radar signal recognition based on the mathematical criteria. The concepts of this technique are described. The experiment results obtained for nearest neighbour method are presented. Clustering algorithm was tested for different methods of objects grouping and for various distance measures.

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Author information

Authors and Affiliations

  1. Faculty of Electronics, Institute of Radioelectronics, Military University of Technology, Warsaw, Poland

    Jan Matuszewski

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  1. Jan Matuszewski
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Correspondence to Jan Matuszewski .

Editor information

Editors and Affiliations

  1. V.V. Popovskyy department of Infocommunication Engineering, Faculty of Infocommunication, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

    Tamara Radivilova

  2. V.V. Popovskyy department of Infocommunication Engineering, Faculty of Infocommunication, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

    Dmytro Ageyev

  3. Department of e-Business, Faculty of Business, Economics and Statistics, University of Vienna, Vienna, Austria

    Natalia Kryvinska

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Matuszewski, J. (2021). Practical Application of Clustering Methods in Radar Signals Recognition System. In: Radivilova, T., Ageyev, D., Kryvinska, N. (eds) Data-Centric Business and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 48. Springer, Cham. https://doi.org/10.1007/978-3-030-43070-2_7

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