在遥感遥测卫星数据接收处理系统中,通常要预先加载引导数据用于引导伺服跟踪卫星。当伺服实际需要的角度引导数据率高于已有的引导数据率时,需要用插值的方法得到引导数据。常用的插值方法有拉格朗日插值法、牛顿插值法、平均插值法等。在卫星轨道较低的情况下,上述插值法得到的引导数据表现较好,但对于高仰角轨道卫星,引导数据使用上述插值法可能会出现加速度突变,并超出伺服性能跟踪的问题。为此,文中引入了一种基于三次样条函数的引导数据插值方法,并证明该方法计算的引导数据不但平滑,而且加速度变化稳定。

In remote sensing satellite data receiving system,we need to load prediction date before guiding antenna servo system to track a satellite. When the prediction data frequency is not appropriate for antenna servo system, some interpolating methods are usually used including Lagrange interpolation, Newton interpolation,simple linear interpolation,etc. Unfortunately, these interpolating methods do not perform very well when lead antenna servo system to track high elevation satellites. In this paper,cubic spline interpolation is introduced which has better performance for acceleration break. At last, experiments data prove the points of view.