Application effect of Kalman filter in airborne full tensor magnetic gradient measurement based on theoretical model
MENG Qing-Kui1,2(), ZHOU Jian-Xin1,2, SHU Qing1,2, GAO Wei2, XU Guang-Jing2, WANG Chen-Yang2
1. Key Laboratory of Airborne Geophysics and Remote Sensing Geology, Ministry of Natural Resources, Beijing 100083, China 2. China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China
The aero full tensor magnetic gradient data contain complex motion noise, which is distributed from low frequency to high frequency in the spectrum, and is mainly white noise. So, how to effectively suppress the motion noise is a great challenge. The traditional digital filtering can only filter the noise with the specified frequency band, but it can not effectively separate the noise mixed in the full tensor magnetic gradient useful signal. In view of the fact that Kalman filter is a fast, efficient and real-time optimization estimation method, the authors applied it to the aero magnetic full tensor gradient data processing, and built the state equation and observation equation reasonably. Model test proves that the method is effective and can be applied to real-time processing of aeromagnetic full tensor gradient data.
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