Signal processing from sensors in a probabilistic model for recognition — IFF

Radoslav Masnica, J. Stulrajter
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引用次数: 1

Abstract

Processing of information from the sensors and the resources available to the commander are very important for his decision-making process. Quality of information for decision-making process has a great importance. This article focuses on the description of the properties of the probabilistic model for processing of sensor signals using the probabilistic model of recognition Custom / Foreign Identification Friendly or Foe (IFF) and access to the current intelligence picture of the commander in the common operational picture (COP) for C4I2 systems. This article describes the relationship between the impact of factors which influence signal processing and their impact on the results of the fight in network enabled environment. This view defines a comprehensive approach to processing of signals from the sensors and the ability to use full access to information, to use of common communication and information environment within systems supporting command and control in the environment Network Enabled Capabilities (NEC) for describing the relative information domination.
基于概率模型的传感器信号处理识别- IFF
处理来自传感器的信息和指挥官可用的资源对他的决策过程非常重要。信息质量对于决策过程具有重要意义。本文重点描述了利用识别自定义/外部敌我识别(IFF)的概率模型处理传感器信号的概率模型的特性,并在C4I2系统的共同作战图像(COP)中访问指挥官的当前情报图像。本文阐述了网络环境下影响信号处理的因素对战斗结果的影响之间的关系。这种观点定义了一种综合的方法来处理来自传感器的信号,以及使用完全访问信息的能力,在支持环境中的命令和控制的系统中使用公共通信和信息环境网络启用能力(NEC)来描述相对信息支配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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