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Methods and analytical tools for assessing tactical situation in military operations using potential approach and sensor data fusion

机译:使用潜在方法和传感器数据融合评估军事行动战术局势的方法和分析工具

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The paper presents designed quantitative methods and algorithms implemented in specialized mobile mCOP application for combat decision support. Military operations require sophisticated planning and execution in order to minimize risks and potential losses while fulfilling mission objectives in constrained time. To support such features the decision makers design methods of evaluating threats and tactical scenarios. The outcomes of such calculations provide mission alternatives called variants or Courses of Actions. To determine which possible CoA is matching the scenario and in the end is the most feasible, a set of quantitative methods can be used. The evaluation process considers both tactical and topographical characteristics of the scenario. The location, orientation and composition of forces, combat potentials, performed tasks, as well as terrain and battlespace environment features are the parameters considered in the algorithms, which in result provide threat levels, attrition rates, potential losses, objectives timelines etc. To assess tactical situation we implemented, a set of combat potential evaluation methods, which using doctrinal patterns, can be easily employed in mobile software. The advantage of equipping each decision maker at the tactical level with sophisticated methods provides means of increasing the speed of task execution, provides more accurate decisions but most of all supports instant reporting from combat units. Due to the development of hardware and software platforms, smartphones offer are capable of running complex algorithms for tactical support for individual soldiers and low level commanders support. Since they are capable to utilize tactical data (forces location, composition, tasks) in dynamic mobile military networks, accessible anywhere during mission, and provide provides rich functional support for situation awareness and decision superiority. These two key factors of 21st century military operations influence the efficiency of recognition, identification and targeting during combat missions. Military support tools providing rich tactical and their analytical capabilities, can serve as recon data hubs, but most of all can support and simplify complex analytical tasks for commanders. The tasks mainly include topographical and tactical orientation within the battlespace. Developed software platform mCOP, demonstrates all research findings, providing personalized combat-oriented distributed mobile system, supporting blue force tracking capabilities, reconnaissance data fusion as well as threat level evaluation for functionalities for management of military and crisis management scenarios. Presented research demonstrates and evaluates the proves the usefulness of deploying mobile applications for combat support, situation awareness development, and the delivery of augmented reality based threat level analytical data to extend the capabilities and properties of constructed methods and of software tools applied for supporting military and border protection operations.
机译:本文介绍了专业移动MCOP应用中实现的设计定量方法和算法,用于战斗决策支持。军事行动需要复杂的规划和执行,以尽量减少风险和潜在损失,同时履行受约束时间的特派团目标。为了支持这些特征,决策者设计评估威胁和战术情景的方法。此类计算的结果提供了称为变体或行动课程的特派团替代方案。为了确定哪种可能的COA与场景匹配,最终是最可行的,可以使用一组定量方法。评估过程考虑了场景的战术和地形特征。力,战斗潜力,执行任务以及地形和战斗空间环境特征的位置,方向和组成是算法中考虑的参数,从而提供了威胁水平,磨损率,潜在损失,目标时机等。评估战术情况我们实施,一组用于移动软件中的使用教义模式的作战潜在评估方法。通过复杂方法将每个决策者配备每个决策者的优势提供了提高任务执行速度的手段,提供了更准确的决策,但大多数支持来自战斗单位的即时报告。由于硬件和软件平台的开发,智能手机提供能够运行复杂的算法,以便为单个士兵和低级指挥官支持进行战术支持。由于它们能够利用动态移动军事网络中的战术数据(强制定位,组成,任务),因此可以在使命期间的任何地方访问,并提供对情况的富于功能的支持,以便对情况提高和决策优势提供丰富的功能支持。 21世纪军事行动的这两个关键因素会影响战斗任务期间的识别,识别和定位效率。提供丰富的战术和分析能力的军事支持工具可以作为RECOR数据集线器,但大多数都可以支持并简化指挥官的复杂分析任务。任务主要包括战斗空间内的地形和战术方向。开发的软件平台MCOP,演示了所有研究发现,提供个性化的战斗型分布式移动系统,支持蓝色力跟踪功能,侦察数据融合以及军事和危机管理方案管理功能的威胁水平评估。提出的研究证明并评估了部署移动应用程序的有用性,以便部署战斗支持,情况意识发展,以及增加基于现实的威胁级别分析数据,以扩展构建方法和应用于支持军队的软件工具的能力和性能边境保护业务。

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