A Comparative Study of FOG Inclinometer's Signals Filtering and Allan Variance Analysis
Ge Lin · Well Logging Technology · 2008
In order to improve precision of the Fiber Optic Gyroscope(FOG) inclinometer used in complex worksite.Researches were made on the FOB output signal noise filtering processing methods.Based on analysis of characters of the output signal noises,three de-noising algorithms are adopted which are the weight moving average filtering,Butterworth low-pass filtering and wavelet analysis for eliminating noises.The properties of the FOG's random drift are detected with the Allan variance method.The comparison and statistic analysis of the three methods prove that the wavelet analysis is more applicable and efficient for the signal processing,and can improve FOG inclinometer precision in the oil industry.