LSTM-EMA Based Frequency Enhancing Method for Cold Atom Gravimeter

Accurate measurement of gravitational acceleration is crucial for many scientific research activities such as gravity matching, geological exploration, gravity mapping, etc. Although the cold atom gravimeter (CAG) has a great advantage in measurement accuracy, the physical characteristics of its measurement process lead to a low output frequency, which cannot obtain enough data in a limited time. To solve this problem, this paper proposes an LSTM-EMA based frequency enhancing method for CAG, which firstly reduces the measurement noise by EMA smoothing algorithm, and secondly realizes the predicted frequency boosting by using LSTM model. Finally, the effect of prediction error is weakened again by the EMA smoothing algorithm. Finally, this paper carries out experimental validation using the measured data of the CAG to verify the algorithm’s feasibility. The result shows that the LSTM-EMA based CAG frequency enhancing method can double the output frequency of a CAG without changing the structure and quantity of the equipment, using only the measurement results of one CAG, and only generates a root-mean-square error of 0.0343 μGal, which reflects the feasibility of the method.