Application of the Sato Blind Deconvolution Algorithm for Correction of the Gravimeter Signal Distortion

Zhao Li-ye, Lin Hongsheng
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引用次数: 2

Abstract

Strong damping and large time constant is the common characteristics of marine gravity meter, in which they suppress vertical interference in the direction of the acceleration, but also result in distortion of the low-frequent gravity anomaly signals, such as amplitude attenuation and phase lag. Based on the principle of the gravimeter and the distortion of measured signals, measured distortion signals of the gravimeter can be approximately taken as the result of gravity signal convoluted with the unknown coefficients of the low-pass filter. Then, the single-channel Buss gang method based on the Sato algorithm is analyzed and used to correct the gravity anomaly distortion signal. Theoretical analysis and the result of emulations show that the correction algorithm based on the blind deconvolution can effectively eliminate the amplitude attenuation and phase lag of the gravity signal distortion and improve the accuracy of the gravity anomaly.
佐藤盲反卷积算法在重力仪信号畸变校正中的应用
强阻尼和大时间常数是海洋重力仪的共同特点,在抑制加速度方向上的垂直干扰的同时,也会造成低频重力异常信号的振幅衰减和相位滞后等畸变。根据重力仪的工作原理和测量信号的畸变,重力仪的测量畸变信号可以近似地理解为重力信号与低通滤波器的未知系数进行卷积的结果。然后,分析了基于Sato算法的单通道Buss gang方法,并将其用于重力异常畸变信号的校正。理论分析和仿真结果表明,基于盲反褶积的校正算法能有效消除重力信号失真的幅度衰减和相位滞后,提高重力异常的精度。
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