一种基于估计熵的自适应模糊滤波器及其在箭遥信号处理中的仿真应用

An Adaptive Fuzzy Filter Based on Approximate Entropy and Its Simulation Application in Rocket Telemetry Signal Processing

介绍了一种基于估计熵的自适应模糊滤波器 ,并将其应用于宽带噪声中火箭遥测速变信号的数字滤波。讨论了自适应模糊滤波算法 ,给出了应用实验结果。分析和实验表明 ,这种新型滤波器能根据信号的复杂程度自动调节其参数 。

Introduces an adaptive fuzzy filter based on approximate entropy and applies the filter to the digital filter of rocket telemetry signal in the wideband noise The adaptive fuzzy filter algorithm is discussed, and the experimental filtering results of rocket telemetry signal in white noise are given Both analysis and experiment show that the parameters of this novel filter can adjust itself according to the complexities of the signal It filters better than the average subsection fuzzy filter for the non steady stochastic signal in the wideband noise