海洋重力测量中滤波方法比较研究

海洋重力测量数据中含有大量高频噪声,需要采用低通滤波器来提取实际的重力异常信息。该文结合实测的海洋重力数据研究了低通滤波器截止频率和滤波器长度的确定方法,设计了不同窗函数的有限脉冲响应(FIR)低通滤波器。经海洋重力测量数据处理试验结果表明,汉宁窗和海明窗的FIR低通滤波器处理的重复线内符合精度和交叉点不符值中误差均优于0.5 mGal(1 Gal=102 m/s2),可满足海洋重力测量要求。

Comparative Study on Filtering Methods in Ocean Gravity Measurement

There are a lot of high-frequency noises in the ocean gravity measurement data, so it is necessary to use a low-pass filter to extract the actual gravity anomaly information. Combined with the measured ocean gravity data, the method of determining the cut-off frequency and length of the low-pass filter is investigated, and the FIR low-pass filters with different window functions are designed. The experimental results of marine gravimetric data processing show that both the coincidence accuracy in the repeating line and error in the intersection non-conformity value of the FIR low-pass filter processing of Hanning window and Hamming window are better than 0.5 mGal(1 Gal=102 m/s2), which can meet the requirements of marine gravity measurement.