提升格式自适应小波在制导航弹仿真试验数据滤波中的应用

Application of Adaptive Wavelet Based on Lifting Scheme in Simulation Data Filter of Guided Bomb

针对简易制导航弹惯性测量装置 (IMU )采样数据的实时处理问题 ,提出了基于提升格式的第二代自适应小波的滤波方法。该方法采用多项式拟合的预测算子 ,对含有噪声的数据通过小波高频分解系数估计出噪声的强度 ,进行数字滤波。三轴转台试验仿真结果表明 ,该方法应用方便且去噪声效果好 。

For problems of sample data processing in IMU of guided bombs, a novel method using adaptive wavelet based on lifting scheme was proposed in this paper. When noises of data are unknown, wavelet decomposition coefficients in high frequency are used to estimate the amplitude of noises, and polynomial fitting predictors are adopted in the time-varying system. The flight simulation results on a three-axis turntable show that the method is efficient, and especially fit to time-varying processes when the data needs to be predicted.