DC-SQUID Optimum Operating Point Automatic Searching Algorithm Based on Extended Kalman Filter

In order to solve the problems of manual adjustment of the DC-SQUID operating point with large error and low efficiency, and the existing automatic search algorithm for the optimum operating point of the DC-SQUID needs to traverse all data, which requires a large amount of calculation. A method based on extended kalman filter is proposed for DC-SQUID optimum operating point automatic searching. This algorithm filters the noise in the measurement process in real time to make the result more accurate. The calculation does not require much historical data, and the amount of calculation is small. Taking the aviation full tensor magnetic gradient instrument as the application background, experiments show that the algorithm can effectively find the optimum operating point of DC-SQUID.