Blind deconvolution algorithm for gravity anomaly distortion correction

Strong damping and large time constant are the common characteristics of marine gravity meter, which can suppress the interference of vertical acceleration, but can also lead to distortion of the low-frequent gravity anomaly signals, such as amplitude attenuation and phase lag. In order to suppress serious background noises and get high-precision gravity information from the measured signals of the precise gravimeter, a new method of single-channel Bussgang algorithm is proposed based on the principle of the gravimeter and the distortion of the measured signals, and is applied to the correction of gravity anomaly distortion. In the signal processing procedure, the deconvolution filter is simplified as a FIR model, and then the single-channel Bussgang deconvolution algorithm-which uses the constant modulus algorithm (CMA) in updating equations-is used to estimate the deconvolution filter. Finally, the measured gravity signal is used for comparing the proposed method with Kalman inverse filter. Emulations and experiments indicate that the proposed single-channel Bussgang algorithm has better performance than that of Kalman inverse filter in alleviating the distortion of the gravity anomaly signal. The distortion correction standard deviations of the proposed method and the inverse Kalman filter are 0.328×10-5 m/s2 and 1.838×10-5 m/s, respectively. ©, 2015, Editorial Department of Journal of Chinese Inertial Technology. All right reserved.