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OA

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.