Open AccessBallistic Target Signal Separation Based on Differential Evolution Algorithm
Author(s) -
Yuxi Li,
Baodai Shi,
Xinrui Pan
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 - 10.1088/1742-6596/1883/1/012005
Subject(s) - algorithm , signal (programming language) , separation (statistics) , differential evolution , doppler effect , differential (mechanical device) , computer science , identification (biology) , scattering , key (lock) , physics , engineering , optics , aerospace engineering , machine learning , botany , computer security , astronomy , biology , programming language
During the course of the ballistic target’s mid-flight, it is very important to accurately identify the target. Separating the target micro-Doppler curve is the key to accurate identification. Aiming at this problem, this paper proposes and improves a differential evolution algorithm to separate the micro-Doppler curves of the scattering points. According to the results of the simulation experiment, the signal is separated well, which verifies the effectiveness of the proposed algorithm.