摘要
航空重力测量数据中含有大量的噪声,需要采用FIR低通滤波器来提取实际的重力异常信息。结合一组实测的航空重力测量数据,讨论FIR低通数字滤波器截止频率和滤波器长度的确定方法,研究了无效数据的删除方法;通过比较不同窗函数设计的滤波器的数据处理性能,得出了在航空重力测量数据处理中,汉宁窗和海明窗设计FIR低通数字滤波器可以满足重力场信息提取的要求。
There is a lot of noise in the data observed by airborne gravimeter. Digital lowpass FIR-filter is needed to extract the factual gravity field information from such data. Based on a set of real data of airborne gravimetry, the authors dealt with the determination of the cutoff frequency and filter length of the digital lowpass FIR-filter, and studied the method for deleting ineffectual data. Based on a comparison of the capabilities of filters designed by different window functions, it is concluded that, in airborne gravimetry, the digital lowpass FIR-filter designed by Hanning window and Hamming window can meet the requirement of extracting the gravity field information.
出处
《物探与化探》
CAS
CSCD
北大核心
2010年第1期74-78,共5页
Geophysical and Geochemical Exploration
关键词
航空重力测量
FIR低通数字滤波器
窗函数
重力异常提取
airborne gravimetry
digital lowpass FIR-filter
window function
extraction of gravity anomaly
