Open AccessA novel method for discriminating multi-sensor fusion based on coherent feature
Author(s) -
Jun Han,
Yang Hu,
Ming Zhou,
Yue Tang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2078/1/012064
Subject(s) - autocorrelation , fusion , feature (linguistics) , sensor fusion , pattern recognition (psychology) , radar , artificial intelligence , computer science , common emitter , function (biology) , pulse (music) , algorithm , electronic engineering , mathematics , engineering , statistics , telecommunications , philosophy , linguistics , evolutionary biology , biology , detector
In order to solve the problem of multi-sensor fusion discrimination of the same radar emitter, a multi-sensor fusion discrimination method based on coherent feature is proposed in this paper. First, the simultaneous interpreting of the pulse sequences received by different sensors is carried out. Then the peak value of the autocorrelation function between pulses is used to determine whether the same source is used. The simulation results show the effectiveness of the proposed method.