基于LMS自适应滤波器的设计

Design of adaptive filter based on LMS

针对在惯组时间序列的插值和预测分析中,不可避免地会引入一些误差,致使预报结果不能反映惯组实际状况的缺点,基于自适应滤波能够提供卓越的滤波性能和自动地调节现时刻滤波器参数的特点,设计了一种基于LMS自适应滤波器,以适应信号和噪声未知的或随时间变化的统计特性,从而实现最优滤波。仿真结果表明该方法是有效的。

For the drawbacks that in the analysis of the Inertial Measurement Unit（IMU） time series interpolation and prediction,it will inevitably introduce some errors and make the forecast results cannot reflect the actual condition of the IMU.Based on the characteristics that adaptive filter can provide excellent filtering performance and automatically adjust the filter current parameters,an adaptive filter based on the LMS is designed,to adapt to unknown signal and noise or time-varying statistical properties,realizing the optimal filter.Simulation results show this method is effective.