中图分类号：V557+.1 文献标志码：A DOI: 10.16157/j.issn.0258-7998.256866
中文引用格式： 娄广国，顾梓仪，曹怡，等. Kalman滤波算法在外测数据处理中的应用研究[J]. 电子技术应用，2025，51(12)：62-66.
英文引用格式： Lou Guangguo，Gu Ziyi，Cao Yi，et al. Application research of the Kalman filtering algorithm in external measurement data processing[J]. Application of Electronic Technique，2025，51(12)：62-66.

Application research of the Kalman filtering algorithm in external measurement data processing

Abstract： In the application of Kalman filtering algorithm for real-time processing of measurement data, methods are often employed to adjust the filter gain matrix in order to address divergence issues. In real-time data processing, it is not possible to determine the gain coefficients of the filter gain matrix adjustment through a posteriori means; therefore, an adaptive determination method targeting the data must be designed. This paper examines the error characteristics of the data sequence, adjusts the filter memory decay step size, determines the filter memory decay coefficient, and employs the hyperbolic tangent (tanh) function to calculate the gain coefficients. Simulation results demonstrate that the Kalman filtering algorithm with adaptive gain coefficients can effectively adapt to common measurement data and is suitable for real-time processing of measurement data.

Key words : Kalman filtering algorithm；adaptive；gain coefficient