On some Markovian Salvo combat models
Neo, Say Beng
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In this thesis, we present Markov-based probability models for two important problems related to current combat situations: fire allocating of salvos against multiple targets, and Improvised Explosive Devices (IED) attacks on convoys transporting supply and troops. For the fire allocation problem, we suggest a certain shooting tactics, called Persistent Shooting, and explore the effect of various engagement parameters using a discrete time Markov chain. We consider the scenario where a single shooter engages a set of targets by a series of salvos. The shooter has a limited number of munitions to deliver and the question is how to allocate the fire in the presence of limited BDA capabilities. For the IED problem, we explore the effect of various tactical parameters on the IED threat and on the resulting attrition of the friendly force using a continuous time Markov chain.
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