Application of adaptive particle filter to shipborne cold atom gravimetry

Shipborne cold atom gravimetry is crucial for geodesy, geophysics, resource exploration and autonomous navigation. Under dynamic conditions, effective reduction of measurement noise is one of the key factors in improving the performance of gravimeter. This study innovatively applied Adaptive Particle Filter (APF) algorithm to shipborne cold atom gravimetry which can effectively reduce measurement noise. This APF algorithm was utilized with offset, contrast of fringe and absolute gravity as its state vectors to observe the output of absolute gravimeter. After filtering the measured atom interference fringes, the optimal estimation of absolute gravity is obtained. This method reduces the dispersion of gravity from 42.1 mGal to 13.6 mGal (T = 5 ms), which is 67.7% less than without algorithm. Meanwhile absolute gravity has almost the same change trend. This result confirms the potential of APF algorithm to for enhancing the performance of absolute shipborne gravimetry.