A maximum correlation entropy Kalman filter （MCKF） error correction method is proposed to address the issue of test data errors caused by errors in the testing equipment itself and improper operation by testing personnel during the testing process of various equipment performance parameters. This method improves the accuracy of error correction by introducing maximum correlation entropy to process non Gaussian noise interference in test data. Applying it to the error correction of performance parameter test data of a certain device， the simulation results show that this method can effectively handle the impact of non Gaussian noise interference on the error correction accuracy in the test data.