Adaptive cuckoo search-based fitting method for atomic gravimeter interference fringes

Area of Science:

• Atomic physics
• Geophysics
• Metrology

Background:

• Atomic gravimeters use atom interferometry for precise gravitational acceleration measurements.
• Traditional fringe fitting methods (LS, EKF) struggle with noise sensitivity and accuracy.
• Enhanced fringe fitting is critical for advancing gravitational acceleration measurement precision.

Purpose of the Study:

• To develop a novel and more accurate fringe fitting algorithm for atomic gravimeters.
• To overcome the limitations of existing fitting methods in terms of accuracy and stability.
• To improve the precision of gravitational acceleration measurements.

Main Methods:

• Proposed an orthogonal-distance-driven Adaptive Cuckoo Search (ACS) algorithm.
• Integrated dynamic step-size scaling, hybrid Lévy flight, elite disturbance, and nest reset strategies.
• Validated the ACS algorithm using simulated and experimental atomic gravimeter data.

Main Results:

• The ACS algorithm demonstrated superior fitting accuracy compared to LS and EKF.
• ACS processing of experimental data showed a 5.0% lower residual amplitude than LS.
• ACS processing showed a 28.79% lower residual amplitude than EKF, indicating enhanced precision.

Conclusions:

• The proposed ACS algorithm effectively enhances atomic gravimeter interference fringe fitting.
• This method provides a novel framework and solution for precise gravitational acceleration measurement.
• The improved accuracy has significant implications for geophysics and metrology.