几种滤波在数据自动平滑处理中的对比分析

针对某型制导炮弹弹体旋转角度实时估算受噪声影响变化较大,需进行自动平滑滤波实时估计正确角度的问题,构建了基于均值、中值和卡尔曼滤波原理的自动平滑滤波器;阐述了3种自动平滑滤波器原理,并使用1×5的滤波器窗口对3种滤波器在数据自动平滑处理中的性能进行了对比分析;实验表明:3种滤波器均满足实时、自动平滑处理需要,指出了卡尔曼滤波器相对的优越性和普适性。

Analysis and Comparison of the Quality of Average, Median and Kalman Filter in Automatic Data Smoothing

As for the precision of the angle real-time estimation of the guided projectile is affected greatly by the noise and needed to be smoothed automatically, three automatic data smoothed filters based on average smoother, median smoother and the Kalman smoother are founded. The principle of such three smoothed filter is described in this paper. The function of those three filters in automatic data smoothed filtering is analyzed and compared using 1 x 5 filter window in data filtering experiment, and the superior quality of the Kalman filter is pointed out.