
Ballistic target intake feature extraction algorithm based on phase recovery
Author(s) -
Shuai Chen,
Feng Cheng,
Xuguang Xu
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 - 10.1088/1742-6596/1449/1/012118
Subject(s) - robustness (evolution) , radar , algorithm , phase (matter) , feature extraction , computer science , echo (communications protocol) , signal (programming language) , basis (linear algebra) , artificial intelligence , scattering , pattern recognition (psychology) , computer vision , mathematics , physics , optics , chemistry , telecommunications , computer network , biochemistry , geometry , quantum mechanics , gene , programming language
The movement is the main form of movement of the space ballistic target, and the recognition of the inmoving characteristic is the basis for judging the target attribute. By analyzing the echo phase form of a single intake scattering point, a phase recovery algorithm restores the phase change of narrow-band radar echo signal. The recovered phase is analyzed spectrally, so as to estimate the spin and velocity of the target. The simulation results prove the validity of the algorithm and have good robustness.