基于平台的传感器管理

D. Stromberg, M. Andersson, F. Lantz
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引用次数: 21

摘要

描述了一种基于平台的数据融合和传感器管理通用机制的设计。它是基于两种类型的代理,任务代理和传感器代理之间的二元性。任务代理从出售信息的传感器代理那里购买信息,传感器产生信息供任务使用。对于涉及动作持续时间较短的传感器的系统,这些买卖交互非常频繁地发生。当多个传感器可用时,卖/买交互涉及传感器的选择和调度。任务概念类似于旧的决策或OODA(观察/定向/决定/行动)循环,长期以来一直用于理解人类参与复杂的命令和控制问题。可以将任务描述为具有预定义目的和处理能力的小型OODA循环。有许多任务类型,每一个都致力于特定的技能或传感器过程。该设计在单平台和多平台应用中进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On platform-based sensor management
The design of a generic mechanism for platform-based data fusion and sensor management is described. It is based on the duality between two types of agents, task agents and sensor agents. Task agents buy information from sensor agents that sell it, and sensors produce information that tasks consume. These buy and sell interactions occur very frequently for systems involving sensors that work with small action durations. When several sensors are available, the sell/buy interaction involve selection and scheduling of sensors. The task concept is similar to the old decision or OODA (observe/orient/decide/act) loop that has since long been used for understanding human participation in complex command and control problems. A task might be described as a tiny OODA loop, with predefined purpose and processing capability. There are numerous task types, each dedicated to a certain skill or sensor process. The design is evaluated in single and multiplatform applications.
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