GOCE卫星重力测量中有色噪声滤波器设计

Design of Color Noise Filter in GOCE Satellite Gravimetry Mission

本文根据卫星重力梯度测量的有色噪声特性,设计了Wiener、AR、FIR三种滤波器,并利用模拟的有色噪声数据对其滤波效果进行了测试,结果表明:对于文中采用的有色噪声数据,AR的滤波效果最好,其次为Wiener滤波器,FIR的滤波效果最差;三种滤波器均可用于GOCE卫星重力测量中有色噪声数据滤波,但其实用性尚需利用实测数据进行检验;可以利用不同的滤波器对含有色噪声的卫星重力梯度数据进行多次滤波,以进一步减弱有色噪声对卫星重力梯度测量精度的影响.

The Wiener filter, AR filter and FIR filter are designed according to the characteristics of color noise in satellite gravity gradient（SGG） mission. The filtering effect are tested by simulated color noise data. Results show that the filtering effect of AR filter is the best for the color noise data used in this paper, then is the Wiener filter, and the FIR filter is the last. These filters can all be used in the filtering of color noise in GOCE SGG mission. The practicability should be tested by real surveying data. The SGG data polluted by color noise can be filtered several times by different filters in order to reduce the influence of color noise to SGG mission＇s precision.