Application of Kalman Filtering and Smoothing for Airborne Gravimetry

Abstract:

Due to the interference of noise, filtering technology is applied to achieve gravity anomaly for airborne gravimetry. Kalman filtering and smoothing are discussed and implemented for data processing of airborne gravimetry in this paper. Firstly, the algorithms of Kalman filtering and smoothing are introduced. Then, the system model for solving the gravity anomaly is established which is based on the dynamic equation and the hardware design equations. Finally, the result of Kalman filtering and smoothing would be compared with digital FIR low pass filter, and it is proved that Kalman filter and smoother could obtain more accurate result than FIR low pass filter as that the solving error of Kalman filter and smoother is improved within 1 mGal compared with the theory standard obtained by GT-1A software.

• Periodical: Applied Mechanics and Materials (Volumes 548-549)
• Pages: 1192-1195
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.548-549.1192
• Online since: April 2014
• Authors: Wei Zheng*, Gui Bin Zhang, Rui Li
• Keywords: Airborne Gravimetry, Gravity Anomaly, Kalman Filter, Kalman Smoother

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