Open AccessTarget Signal Separation of Missile Group Based on Micro-motion Frequency Correlation
Author(s) -
Zhongtao Tao,
Shaoqing Yang
Publication year - 2020
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 - 10.1088/1742-6596/1607/1/012074
Subject(s) - short time fourier transform , artificial intelligence , computer science , feature extraction , fourier transform , signal (programming language) , filter (signal processing) , missile , computer vision , pattern recognition (psychology) , mathematics , engineering , fourier analysis , mathematical analysis , programming language , aerospace engineering
Object micro-motion feature extraction method for isolated targets is relatively mature, but the resolution and micro-motion feature extraction method for group targets still needs further research. Ballistic missiles in the middle of the throw-off process is taken to be the example, when the false target is released. A method of target separation by micro-Doppler frequency is proposed, and the target is modeled. A parameterized expression is given. The narrow band echo is processed by STFT and the time-frequency plane is obtained. After that, the BM3D algorithm is used to filter and reduce noise to smooth the curve. The improved Viterbi algorithm is used to extract the micro-Doppler curve of the group target. Finally, the Fourier transform is performed. According to the frequency correlation, the group target is separated, and the simulation verified this method.