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| EXPERIMENTAL RESEARCHES ON FIR LOWPASS FILTER BASED ON EQUIRIPPLE |
| LUO Feng1,2, GUO Zhi-hong1,2, LUO Yao1,2, WANG Ming1,2 |
1. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China;
2. Laboratory of Earth Observation Technology, China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China |
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Abstract This paper aims at solving the extraction of weak gravity anomaly signal under strong noise background, which is one of the key techniques in airborne gravity survey. Remez exchange algorithm design linear phase FIR low-pass filter was employed according to equiripple Chebyshev approximation theory,and model data were used to verify the effectiveness of the method. GT-1A airborne gravity system measurement data were utilized to conduct filter test. It is shown that the same results as the GT-1A system Kalman smooth filter can be obtained on the basis of the Remez exchange algorithm design linear phase FIR equiripple low-pass filter in the free air gravity anomaly under certain conditions.
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Received: 15 July 2011
Published: 10 October 2012
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