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BUILDING A MODULAR MULTI-SENSOR SIMULATION FRAMEWORK USING COTS SOFTWARE AND HLA

机译:使用COTS软件和HLA构建模块化的多传感器仿真框架

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This paper describes a modular framework for high qualityrnsimulation of multi-sensor systems that is being developedrnto increase our ability to simulate sensor systems inrnvaried conditions. The incentive for this was the need forrnproduction of extensive datasets for algorithm developmentrnas well as evaluation of, mainly autonomous, sensorrnsystems. In this work, HLA (High Level Architecture) hasrnbeen used to integrate simulation software, terrain models,rnatmospheric models and sensor data analysis algorithmsrninto a distributed and reconfigurable multi-sensorrnsimulation framework. The main focus of the frameworkrnis high fidelity sensor data simulation; hence non realtimernfederates are mainly used. This allows us to use calculationrnintensive simulation tools that are primarilyrnbased on detailed physical models. A significant part ofrnthe integration work has been to extend the RPR-FOMrn(Real-time Platform Reference Federation Object Model)rnto include the capability for distributed sensor simulationrnon a functionality level. The aim of this paper is to presentrnthis framework and to contribute with design solutionsrnchosen for added objects and interactions. At the endrnsome examples are briefly presented, where this frameworkrnhas been successfully used in various projects forrnalgorithm development and system evaluation.
机译:本文描述了一种用于多传感器系统的高质量仿真的模块化框架,该框架正在开发中,以提高我们对条件不变的传感器系统进行仿真的能力。这样做的动机是需要为算法开发人员生产大量数据集以及评估(主要是自主的)传感器系统。在这项工作中,HLA(高级体系结构)已用于将仿真软件,地形模型,大气层模型和传感器数据分析算法集成到分布式可重新配置的多传感器仿真框架中。框架的主要重点是高保真传感器数据模拟;因此,主要使用非实时联合。这使我们能够使用主要基于详细物理模型的计算密集型仿真工具。集成工作的重要组成部分是扩展RPR-FOM(实时平台参考联合对象模型)以包括分布式传感器仿真功能或功能级别。本文的目的是介绍此框架,并为选择的对象和交互选择解决方案做出贡献。在最后的例子中,简要介绍了该框架,该框架已成功用于各种项目的算法开发和系统评估。

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