靶场遥测数据滤波方法分析研究

摘要

Smoothing filter is an important content of the data processing.Based on the change characteristics of range telemetry data, discussed the median filtering method, the weighted moving average method and singular value decomposition method in the application telemetry data filtering, compared the performance of three methods by using the simulation data, experimental results show that the above methods have their own characteristics, and then put forward the segmentation method according to the type of smoothing filter, which improved the accuracy of data processing, and have a certain reference value.%平滑滤波是数据处理的一项重要内容。本文基于靶场遥测数据的变化特性，探讨了中值滤波法、加权移动平均法和奇异值分解法在遥测数据滤波中的应用，利用仿真数据对三种方法性能进行比较，实验结果验证以上诸方法各有自己的特点，进而提出了分段按类型平滑滤波的方法，提高数据处理精度，具有一定的参考应用价值。