航空重力数据常用滤波方法对比研究

Comparative Study of Common Filtering Methods Used in Airborne Gravity Data

航空重力测量中,存在着各种各样的噪声干扰,严重影响了异常的精度和分辨率。低通滤波器在航空重力测量数据处理中对于去掉高频噪声干扰有着重要的作用;因此,对航空测量信号进行异常恢复和噪声信号衰减的一个重要步骤就是设计低通性能更优越的滤波器。通过模型实验,对比6×20_s RC滤波器、Kalman滤波器和FFT滤波器输出结果,以确定各种滤波器的可靠性,并分析了3种滤波器的影响因素,为以后对数字滤波器的研究奠定基础。

There are various noise in the airborne gravimetry,which seriously affected the accuracy and resolution.Low-pass filtering in airborne gravimetry data processing plays a fundamental role in removing noise from the high frequency.Therefore,an important step is to design low-pass filters with propertries more well,employed in airborne gravimetry to optimize gravity anomaly recovery and noise attenuation.This study combined the theoretical model's true anomoly and noise anomaly,filtered by design 6×20_s RC filter,Kalman filter and FFT filter,compared the output of their with theoretical model's true anomaly to identify the reliability.Also,this study analysised the impact of the three filters,making a foundation for future research.