Open AccessAnalysis and Research on Radar Gesture Micro-motion Feature Extraction Method
Author(s) -
Yaoyao Dong,
Wei Qu,
Tianhao Gao,
Pengda Wang,
Haohao Jiang
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 - 10.1088/1742-6596/2031/1/012012
Subject(s) - radar , gesture , computer science , feature extraction , artificial intelligence , gesture recognition , anechoic chamber , feature (linguistics) , computer vision , motion (physics) , pattern recognition (psychology) , key (lock) , telecommunications , linguistics , philosophy , computer security
Radar gesture recognition technology is widely used in daily life, and the micro motion feature is the key information to distinguish the feature quantity of different gestures. The extraction of micro motion feature is the key step of radar gesture recognition. Joint time-frequency analysis is a common method for radar signal micro motion feature extraction. Firstly, this paper makes a theoretical analysis of the common joint time-frequency analysis methods; Then radar gesture model is completed, and the performance of different JTFA is compared by extracting the time-frequency features of the motion gesture echo; Finally, the measured data are collected under the condition of microwave anechoic chamber. After analysis, the theoretical simulation results are consistent with the measured data, which verifies the reliability of the simulation.