最优批处理滤波器在传递对准中的应用

The Appilcation of Optimal Batch Filter in Transfer Alignment

本文介绍了将数据压缩和最优滤波器相结合的最优估值方法，该算法通过对获得的一批Ｎ个数据进行最优估值，可以有效地抑制观测噪声，并能对零均值有色噪声进行平滑，应用该算法设计的空中发射导弹传递对准仿真结果表明，同一般卡尔曼滤波相比，当传递对准中观测噪声较大时，存在振动干扰情况下能提高对准精度，缩短对准时间，而且还能解决滤波计算频率同数据采集频率的匹配问题。

This paper presents an optimal estimate algorithm which combinesdata compression with optimal filter. The algorithm obtains the optimal estimate of thestate by processing a batch Of measurements,so it can effectively inhibit the noise ofmeasurement and smooth the zero average non white noise。 The simulation result ofthe algorithm applying to transfer alignment of air to air missile shows: while thenoise of measurement with the oscillation response is stronger,contrasting to Kalmanfilter,the algorithm can improve the accuracy of alignment,reduce the time of alignment and solve the problem of the frequency of filter computing matching with the frequency of data sampling