| Citation: | OU Nengjie, WANG Shengli, ZHANG Zhiet al. IMM mixing estimation method based on unequal dimension states[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(10): 2115-2122. doi: 10.13700/j.bh.1001-5965.2019.0038(in Chinese)
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The interacting multiple model (IMM) estimator has been proven to be of excellent performance and low complexity in tracking agile targets. The success of IMM attributes to mode mixing, where model outputs are mixed for model-conditional reinitialization. The problem of unequal dimension states mixing in IMM estimation is studied and an optimal method for IMM mixing is proposed based on summarizing the existing methods. By introducing the concept of "switching" state into the target state, the new method dynamically adjusts the hybrid strategy with model probability and innovation to achieve optimal estimation. The simulation results show that the proposed approach outperforms the existing algorithms in the scenarios of mixing different models.
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