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Sensor Management for Static Target Detection with Non-Binary Sensor Observations and Observation Uncertainty

机译：具有非二进制传感器观测值和观测值不确定性的静态目标检测的传感器管理

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摘要

Previously, a grid-based sensor management framework has been developed that is useful for directing the operation of a suite of sensors seeking to detect static targets. Earlier versions of the framework only allow the sensors to make binary observations驴either "target present" or "no target present"驴within the cells of the grid. This paper introduces the use of non-binary observations within the sensor management framework. Simulation results are presented which show that the presented sensor manager continues to outperform a direct search technique with the use of non-binary observations. The effects of uncertain sensor observations are also examined in this paper, and uncertainty modeling is introduced in order to allow the sensor manager to model uncertain non-binary sensor observations. Simulation results show that proper uncertainty modeling is crucial for maintaining robust sensor manager performance.
机译：以前，已经开发了基于网格的传感器管理框架，其用于指导寻求检测静态目标的传感器套件的操作。早期版本的框架仅允许传感器使二进制观察驴在网格的单元格中的“目标存在”或“没有目标存在”驴。本文介绍了在传感器管理框架内使用非二元观测。提出了仿真结果，表明所提出的传感器管理器继续使用非二进制观测的直接搜索技术。在本文中还检查了不确定传感器观测的影响，并引入了不确定性建模，以允许传感器管理器模拟不确定的非二进制传感器观察。仿真结果表明，适当的不确定性建模对于维持强大的传感器管理性能至关重要。

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