Volume 43 Issue 5
May  2017
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SONG Haifang, XIAO Mingqing, CHEN You, et al. MDP method for optimization of fighter aircraft's countermeasures against missile[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(5): 942-950. doi: 10.13700/j.bh.1001-5965.2016.0381(in Chinese)
Citation: SONG Haifang, XIAO Mingqing, CHEN You, et al. MDP method for optimization of fighter aircraft's countermeasures against missile[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(5): 942-950. doi: 10.13700/j.bh.1001-5965.2016.0381(in Chinese)

MDP method for optimization of fighter aircraft's countermeasures against missile

doi: 10.13700/j.bh.1001-5965.2016.0381
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  • Corresponding author: XIAO Mingqing, E-mail:xmqing@sohu.com
  • Received Date: 09 May 2016
  • Accepted Date: 10 Aug 2016
  • Publish Date: 20 May 2017
  • Missile countermeasure optimization problem for fighter aircraft was studied. The missile countermeasure optimization was modeled as a sequential decision-making problem under uncertainty, and a Markov decision process (MDP) based approach was proposed. First, the engagement process was divided into several phases, and these phrases were marked by states. Electronic counter measures (ECM) and strategic maneuvers were treated as actions. Then, the state transition probability was used to reflect the uncertainty of each action, and average occupancy of "hit" state and "search" state was used to evaluate the aircraft survivability under different policies. Finally, the policy iteration algorithm was used to get the optimal policy, which maps the optimal action to be taken in each state. Simulation indicates that the aircraft survivability decreases as time goes on; the proposed MDP-based approach can effectively improve the aircraft survivability; one-step optimization is useless for the aircraft survivability and the influence of the state transition should be considered from the view of long-time horizon.

     

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