Abstract: The present invention discloses a method for determining an inverse of gravity correlation time. During data processing on gravity measurement of moving bases, a gravity anomaly is considered as a stationary random process in a time domain, and is described with a second-order Gauss Markov model, a third-order Gauss Markov model or an mth-order Gauss Markov model, and the inverse of gravity correlation time is an important parameter of the gravity-anomaly model, and according to a gravity sensor root mean square error, a Global Navigation Satellite System (GNSS) height root mean square error, an a priori gravity root mean square, and a gravity filter cutoff frequency during the gravity measurement of the moving bases, an inverse of gravity correlation time of the second-order, third-order or mth-order Gauss Markov model is determined.

Abstract: Disclosed is a calibration method for a rotating accelerometer gravity gradiometer, wherein linear motion error coefficients, angular motion error coefficients, self-gradient model parameters and scale factors of the rotating accelerometer gravity gradiometer are calibrated once by changing linear motion, angular motion, and self-gradient excitations of the rotating accelerometer gravity gradiometer. The calibrated linear and angular motion error coefficients are used for compensating for motion errors of the gravity gradiometer online, and the calibrated self-gradient model parameters are used for self-gradient compensation. The calibration method provided by the present invention is easy to operate and not limited by any calibration site, thereby being suitable for programmed self-calibration and realizing an important engineering value.

Abstract: A post-compensation method for motion errors of a rotating accelerometer gravity gradiometer includes the steps of: during moving-base gravity gradient exploration, recording angular and linear motions of a gravity gradiometer; after the exploration, removing angular and linear motion errors from output data of the gravity gradiometer based on an analytical model of the rotating accelerometer gravity gradiometer; while ensuring that the precision of the gravity gradiometer is unchanged, the post-compensation method for the motion errors may be applied to greatly reduce the requirements of the gravity gradiometer for the precision of an online error compensation system, thereby simplifying the circuit design and mechanical design of the rotary accelerometer gravity gradiometer, and making the rotating accelerometer gravity gradiometer simpler and cheaper.

Abstract: The present invention discloses a method for determining an inverse of gravity correlation time. During data processing on gravity measurement of moving bases, a gravity anomaly is considered as a stationary random process in a time domain, and is described with a second-order Gauss Markov model, a third-order Gauss Markov model or an mth-order Gauss Markov model, and the inverse of gravity correlation time is an important parameter of the gravity-anomaly model, and according to a gravity sensor root mean square error, a Global Navigation Satellite System (GNSS) height root mean square error, an a priori gravity root mean square, and a gravity filter cutoff frequency during the gravity measurement of the moving bases, an inverse of gravity correlation time of the second-order, third-order or mth-order Gauss Markov model is determined.

Abstract: Disclosed is a calibration method for a rotating accelerometer gravity gradiometer, wherein linear motion error coefficients, angular motion error coefficients, self-gradient model parameters and scale factors of the rotating accelerometer gravity gradiometer are calibrated once by changing linear motion, angular motion, and self-gradient excitations of the rotating accelerometer gravity gradiometer. The calibrated linear and angular motion error coefficients are used for compensating for motion errors of the gravity gradiometer online, and the calibrated self-gradient model parameters are used for self-gradient compensation. The calibration method provided by the present invention is easy to operate and not limited by any calibration site, thereby being suitable for programmed self-calibration and realizing an important engineering value.

Abstract: A post-compensation method for motion errors of a rotating accelerometer gravity gradiometer includes the steps of: during moving-base gravity gradient exploration, recording angular and linear motions of a gravity gradiometer; after the exploration, removing angular and linear motion errors from output data of the gravity gradiometer based on an analytical model of the rotating accelerometer gravity gradiometer; while ensuring that the precision of the gravity gradiometer is unchanged, the post-compensation method for the motion errors may be applied to greatly reduce the requirements of the gravity gradiometer for the precision of an online error compensation system, thereby simplifying the circuit design and mechanical design of the rotary accelerometer gravity gradiometer, and making the rotating accelerometer gravity gradiometer simpler and cheaper.