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Multi Sensors signature prediction workbench

机译:多传感器签名预测工作台

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Guidance of weapon systems relies on sensors to analyze targets signature. Defense weapon systems also need to detect then identify threats also using sensors. The sensors performance is very dependent on conditions e.g. time of day, atmospheric propagation, background ... Visible camera are very efficient for diurnal fine weather conditions, long wave infrared sensors for night vision, radar systems very efficient for seeing through atmosphere and/or foliage ... Besides, multi sensors systems, combining several collocated sensors with associated algorithms of fusion, provide better efficiency (typically for Enhanced Vision Systems). But these sophisticated systems are all the more difficult to conceive, assess and qualify. In that frame, multi sensors simulation is highly required. This paper focuses on multi sensors simulation tools. A first part makes a state of the Art of such simulation workbenches with a special focus on SE-Workbench. SE-Workbench is described with regards to infrared/EC1 sensors, millimeter waves sensors, active EO sensors and GNSS sensors. Then a general overview of simulation of targets and backgrounds signature objectives is presented, depending on the type of simulation required (parametric studies, open loop simulation, closed loop simulation, hybridization of SW simulation and HW ...). After the objective review, the paper presents some basic requirements for simulation implementation such as the deterministic behavior of simulation, mandatory to repeat it many times for parametric studies... Several technical topics are then discussed, such as the rendering technique (ray tracing vs. rasterization), the implementation (CPU vs. GP GPU) and the tradeoff between physical accuracy and performance of computation. Examples of results using SE-Workbench are showed and commented.
机译:武器系统的指导依赖于传感器分析目标签名。防御武器系统还需要检测然后使用传感器识别威胁。传感器性能非常依赖于条件。一天中的时间,大气传播,背景...可见光相机对于昼夜精细天气条件非常有效,长波红外传感器用于夜视,雷达系统非常高效,可通过大气和/或叶子看看...此外,多传感器系统,将多个配件传感器与融合的相关算法相结合,提供更好的效率(通常用于增强的视觉系统)。但这些复杂的系统都更加难以理解,评估和资格。在该框架中,多传感器模拟非常需要。本文侧重于多传感器仿真工具。第一部分具有这种模拟工作台的技术,具有特殊的焦点在Se-Workbench上。关于红外/ EC1传感器,毫米波传感器,有源EO传感器和GNSS传感器的描述描述了SE-Workbench。然后,提出了一般性概述了目标和背景签名目标的仿真,具体取决于所需的模拟类型(参数研究,开环仿真,闭环仿真,SW仿真和HW ...)的杂交。目标审查后,仿真实现的一些基本要求,如模拟的确定性行为,必须多次对参数研究重复它......然后讨论了几个技术主题,例如渲染技术(雷差vs 。光栅化),实现(CPU与GP GPU)和物理精度与计算性能之间的权衡。使用SE-Workbench的结果的例子显示和评论。

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