吉林大学学报（理学版）2026，Vol.64Issue(3)：634-642,9.DOI:10.13413/j.cnki.jdxblxb.2025003
基于差分进化算法的低参数依赖无线非接触式感知方法
Low Parameter-Dependent Device-Free Sensing Method Based on Differential Evolution Algorithm
摘要
Abstract
Aiming at the problems that device-free sensing technology had high parameter dependence in practical applications and existing low-parameter-dependent solutions based on optimization algorithms tended to fall into local minima,we proposed a low-parameter-dependent device-free sensing method based on the differential evolution algorithm.The proposed method optimized the parameter configuration of the sensing system through the differential evolution algorithm,combined iterative search and performance evaluation of multi-parameter combinations to gradually approach the global optimal solution,and introduced multiple classifiers to verify the effectiveness of the method.The experimental results show that this method can effectively overcome the problem of parameter dependence,improve the accuracy of data collection and target detection,with a classification accuracy of 97.06％on the human behavior recognition dataset and 94.02％on the brain nerve dataset.It has good practicability and robustness,and effectively solves the defects of parameter dependence and local optimal solutions of traditional sensing methods,providing a new parameter optimization idea for the engineering application of device-free sensing technology.关键词
无线非接触式感知/差分进化算法/低参数依赖/优化算法Key words
device-free sensing/differential evolution algorithm/low parameter-dependent/optimization algorithm分类
信息技术与安全科学引用本文复制引用
孙宏宇,高澜琦,汪守丰,冉力名,董延华..基于差分进化算法的低参数依赖无线非接触式感知方法[J].吉林大学学报（理学版）,2026,64(3):634-642,9.基金项目
吉林省科技厅科技发展计划项目(批准号:20220508038RC). （批准号:20220508038RC）
