Abstract
Airborne gravity measurement is a new type of dynamic measurement technology to quickly obtain information on the earth’s gravity field. In addition to equipment requirements, the solution of airborne gravity anomalies is an important part of airborne gravity measurement data processing. Based on the study of the basic mathematical model of aerial gravity measurement, this study analyzes in detail the finite impulse response (FIR) low-pass filter method used for calculating aerial gravity anomaly and uses the window function to design the FIR low-pass filter to filter the field measurement data. The test results indicate that the designed FIR low-pass filter can suppress the noise interference of the measurement data and extract the gravity anomaly signal that meets the accuracy requirements.
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