火箭飞行数据的两种滤波方法对比

Compare Research of Two Filter Approaches on the Data of Rocket

传统的火箭飞行数据处理方法是使用α β γ数字滤波离线处理 ,对飞行数据采样信号的第 1点、第 2点不进行滤波估值 ,第 3点开始逐个进行估值、预测、校正。该方法需要消耗大量的时间 ,并且滤波后信号的残留噪声仍然较多。针对此问题 ,经过大量的数值实验和理论分析 ,发现用小波方法实时处理火箭飞行数据效果较好 ,比较两种结果 ,证明无论是滤波后信号的残留噪声还是消耗的时间上小波方法都优于α β γ滤波 ,且实现了数据的实时处理功能 。

The traditional process on the data of rocket is using α β? γ digit filter offline which work through estimating, forecasting and revising one by one except the first and second signal so that it costs long time and much noise left. After a lot of experiments and analyses, it is found that the processing on the data of rocket over wavelet transform has better effect. It is testing by comparing with the two means that the new method based on wavelet is far better than the α β? γ digit filter on the noise left and time cost. This approach who can deal with data on real time has nice applications.