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Research on Ballistic Reentry Target Tracking Based on IMM-CKF
Received date: 2016-04-20
Online published: 2025-05-23
The tracking of ballistic reentry target with unknown ballistic coefficient was studied in this paper. In view of the problems that the existing reentry target tracking method was both sensitive to the ballistic coefficient initialization and the noise covariance setting, the cubature kalman filter (CKF) algorithm which has high numerical accuracy, good stability and small computation quantity was adopted as filtering, then the IMM algorithms composed of models with different ballistic coefficient and different noise covariance were designed respectively. Computer simulation results showed that the two IMM algorithms designed in this paper could significantly improve the tracking accuracy and the convergence rate of the ballistic coefficient estimation.
XU Dengrong , CHENG Shuiying , BAO Shouliang . Research on Ballistic Reentry Target Tracking Based on IMM-CKF[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2017 , 37(1) : 13 -18 . DOI: 10.15892/j.cnki.djzdxb.2017.01.004
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