To the issue of maneuvering target tracking,a modified de-biased converted measurement Kalman filter was proposed based on Interacting Multiple Model (IMM-MDCMKF),which used a Modified De-biased Converted Measurement Kalman Filter (MDCMKF) in multi-model.The MDCMKF algorithm improved the converted error covariance matrix by introducing state estimated value,and effectively reduced the effect of measurement noise on the covariance.Then the modified converted error covariance matrix was utilized to implement the DCMKF algorithm for a target tracking scenario.Finally,Monte Carlo simulation was carried out,and the results show that the accuracy of algorithm is superior to that of the IMM-EKF algorithm and IMM-DCMKF algorithm.