학술논문

UWB Vital Sign Signal Recognition Method Based on SVM
Document Type
Conference
Source
2022 7th International Conference on Signal and Image Processing (ICSIP) Signal and Image Processing (ICSIP), 2022 7th International Conference on. :126-130 Jul, 2022
Subject
Signal Processing and Analysis
Support vector machines
Training
Sensitivity
Signal processing algorithms
Signal processing
Feature extraction
Wavelet analysis
UWB radar
vital signs detection
support vector machine (SVM)
feature fusion
wavelet entropy
Language
Abstract
In order to realize intelligent recognition and detection function of vital signs in complex jamming environment, this paper uses UWB radar equipment to transmit detection signals, and constructs an intelligent recognition model of vital signs based on support vector machine (SVM) and multiple feature fusion algorithm. The system can accurately identify and locate life targets under the interference of noise and clutter, and has high accuracy, sensitivity and real-time performance.