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Development of an EO sensor validation case for a missile tracker system

机译:开发用于导弹跟踪系统的EO传感器验证案例

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摘要

The addition of an advanced EO subsystem to an in-service tracker system is reviewed in terms of the sensor modelling and proving activities. For the latter, emphasis is placed on model verification and validation techniques that will lead to a validation case which will then be used to gain equipment acceptance with the UK Royal Navy. The approach to modelling encompasses parametric and image-flow models. The relationship between these different representations is described together with their interaction with the EO equipment and the project development lifecycle. The algorithms generated for the image flow model will be used as the basis for the EO subsystem detection, tracking, and data association software. Issues arising from model validation activities are addressed in detail and include the validation approach, appropriate metrics, coverage of the operational envelope and the use of synthetic imagery to augment trials data.
机译:根据传感器建模和验证活动,对在役跟踪器系统中添加高级EO子系统进行了审查。对于后者,重点放在模型验证和验证技术上,这将导致验证案例,然后将其用于获得英国皇家海军的设备认可。建模方法包括参数模型和图像流模型。描述了这些不同表示之间的关系以及它们与EO设备的交互以及项目开发生命周期。为图像流模型生成的算法将用作EO子系统检测,跟踪和数据关联软件的基础。由模型验证活动引起的问题将得到详细解决,其中包括验证方法,适当的度量标准,操作范围的覆盖范围以及使用合成图像来增强试验数据。

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