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An Improved Interacting Multiple Model Algorithm Based on Bayesian-Fisher Hybrid Model
Received date: 2017-04-26
Online published: 2025-05-28
An improved interacting multiple model algorithm was proposed to solve the problem that the interacting multiple model (IMM) had difficulties in designing mode set. The algorithm integrated the current statistical model into the Bayesian-Fisher hybrid model to achieve the online adaptive adjustment of the mean acceleration, thereby improving the estimation accuracy of the process noise covariance and reducing the model mismatch. At the same time, constant velocity (CV) model was improved and the improved CS and CV model were interacted under the IMM algorithm system The simulation results show that the improved IMM algorithm can quickly respond to the change of target state and achieve better tracking performance than IMMCVCA, IMMCVCS, IMMCVCACT, and IMMCVSTMIE
BAO Shouliang , CHENG Shuiying . An Improved Interacting Multiple Model Algorithm Based on Bayesian-Fisher Hybrid Model[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2018 , 38(1) : 77 -82 . DOI: 10.15892/j.cnki.djzdxb.2018.01.019
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