现代电子技术2026，Vol.49Issue(6)：145-151,7.DOI:10.16652/j.issn.1004-373x.2026.06.022
基于CPO-ICEEMDAN-WTD的称重信号去噪方法研究
Research on weighing signal denoising based on CPO-ICEEMDAN-WTD
摘要
Abstract
Denoising vehicle axle weight signals play an important role in improving dynamic weighing accuracy.In allusion to the problem of noise interference,a method of hybrid signal denoising based on the crowned porcupine optimization(CPO)algorithm to optimize and improve adaptive noise complete empirical mode decomposition(ICEEMDAN),sample entropy(SampEn),and wavelet soft threshold denoising(WTD)is proposed.The CPO is used to optimize the white noise amplitude weight and the number of noise additions of ICEEMDAN,and the axle load signal of vehicle is decomposed by ICEEMDAN to obtain several intrinsic modal components.The SampEn of each component is calculated,and the threshold is used to distinguish noisy components from useful components,and perform WTD on the noisy components.The denoised signal is constructed by combining the processed components with the useful components.The experimental results show that the proposed method can effectively remove the noise in the original axle weight signal,thereby improving the measurement accuracy of the weight-in-motion system.关键词
动态称重/信号滤波/经验模态分解/小波软阈值去噪/冠豪猪优化算法/信号分解和重构/样本熵Key words
weight-in-motion/signal filtering/empirical mode decomposition/wavelet soft threshold denoising/crowned porcupine optimization algorithm/signal decomposition and reconstruction/sample entropy分类
信息技术与安全科学引用本文复制引用
赵栓峰,闵雨轩,李小雨..基于CPO-ICEEMDAN-WTD的称重信号去噪方法研究[J].现代电子技术,2026,49(6):145-151,7.基金项目
陕西省秦创原"科学家+工程师"队伍建设项目(24KGDW0041) （24KGDW0041）
