集成电路与嵌入式系统2026，Vol.26Issue(4)：61-65,5.DOI:10.20193/j.ices2097-4191.2025.0122
基于卡尔曼滤波与电磁屏蔽的真空微推力测量信号降噪方法研究
A study on the signal denoising method for vacuum micro-thrust measurement based on Kalman filtering and electromagnetic shielding
摘要
Abstract
Addressing the issue of low measurement accuracy and poor dynamic response where weak thrust signals are easily over-whelmed by noise in a high vacuum,strong electromagnetic interference environment,this paper proposes an optimized signal denoising solution combining Kalman filtering with electromagnetic shielding.This solution suppresses spatial radiation interference at the physical level by constructing a multi-layer composite electromagnetic shielding system.Simultaneously,it establishes a dynamic model of the thrust measurement system and applies the Kalman filter algorithm for optimal state estimation of the acquired signal,in order to sepa-rate the deterministic thrust signal from random process noise and measurement noise.The experimental results show that the proposed scheme can increase the signal-to-noise ratio(SNR)by nearly 30 dB.Compared to traditional low-pass filtering,it significantly improves the system's dynamic response characteristics while effectively suppressing noise,providing a reliable technical pathway for high-preci-sion,high-dynamic-range micro-thrust measurement.关键词
微推力测量/卡尔曼滤波/电磁屏蔽/状态估计/信号降噪/动态响应Key words
micro-thrust measurement/Kalman filter/electromagnetic shielding/state estimation/signal denoising/dynamic response分类
信息技术与安全科学引用本文复制引用
张融,张铭杰,陈旭,程翔宇..基于卡尔曼滤波与电磁屏蔽的真空微推力测量信号降噪方法研究[J].集成电路与嵌入式系统,2026,26(4):61-65,5.基金项目
国家重点研发计划项目(2020YFA0711602) （2020YFA0711602）
