Open AccessMethod for automatically identifying PRI patterns of complex radar signals
Author(s) -
Tang Yuwen,
He Minghao,
Tang Xiaojie,
Han Jun,
Fan Xikun
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0487
Subject(s) - spurious relationship , robustness (evolution) , computer science , radar , decision tree , pulse repetition frequency , pattern recognition (psychology) , artificial intelligence , interval (graph theory) , jump , data mining , algorithm , machine learning , mathematics , telecommunications , biochemistry , chemistry , physics , combinatorics , quantum mechanics , gene
Aimed at the problem of automatically identifying pulse repetition interval (PRI) patterns of complex radar signals, a novel method is proposed in this paper. The roughness, normalised mean jump energy, and Sp ‐ curve characteristic are extracted as feature set based on the analysis of PRI sequences in time domain. Finally, the decision tree is employed to recognise different PRI patterns. The simulation results show that the algorithm has high recognition accuracy and good robustness to spurious pulses and pulse missing.