Study on the Optimal Distribution Strategy of Multi-Firepower Units Based on Markov Model

Abstract:

Under the circumstances of informationized war, how to distribute firepower units in the most economic manner to maximize the performance of combat system as a whole has become the hot topic with which the combat agent is concerned. The conventional static method based on linear programming intends to distribute firepower units to the enemy targets under certain restrictions as possible as it can , when the number of enemy targets is more than that of the firepower units, there will be multiple firepower units acting to the same enemy target, the effectiveness of combat will be greatly reduced oppositely while the invasion intensity of enemy targets is becoming larger and stronger suddenly. The threat intensity of coming enemy target is included into performance indices for distribution by Markov random target dynamic distribution strategy. based on the original static distribution strategy proposed by this paper, and the weapons will be redistributed to other targets when one weapon finishes its shooting with no more targets distributed, and the less efficient weapons will be replaced with those more efficient ones. Thus, the system can still redistribute firepower units to enemy targets that haven’t been destroyed according to the current status of weapon system's firepower units, even though no new targets arrive or no new instructions of dynamic firepower targets’ distribution decisions are given. All these can help minimize the whole threatening intensity of enemy group, in order to realize the maximum of weapon system’s average economic benefit of combat in the long term.

• Periodical: Advanced Materials Research (Volumes 1049-1050)
• Pages: 1302-1307
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.1302
• Online since: October 2014
• Authors: Di Ming Ai, Xiao Guang Liu, Ling Jie Kong, Jun Yan Zhao
• Keywords: Markov Model, Multi-Firepower Units, Optimal Strategy, Weapon System

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