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Abstract There is a lot of noise in the data observed by airborne gravimeter. Digital lowpass FIRfilter 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 FIRfilter, 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 FIRfilter designed by Hanning window and Hamming window can meet the requirement of extracting the gravity field
information.
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