MaxRay：一种基于光线跟踪的集成传感与通信框架
MaxRay: A Raytracing-based Integrated Sensing and Communication Framework
摘要：
综合传感与通信（ISAC）通过利用通信网络提取环境信息，在人类对通信的需求和提高生产力的需求之间形成了共生关系。由于多种感官已经创造了对环境的感知，因此需要调查ISAC与这些方式相比的优势。因此，我们引入MaxRay，一个ISAC框架，允许联合模拟通信，传感和附加传感。强调创建这样的传感网络的挑战，我们介绍了所需的传播特性的传感和如何利用它们。为了比较不同的传感技术的性能，我们分析了四种常用的度量在不同的领域，并评估其优点和缺点的传感。我们描绘了一个基于突出度的度量是适合于覆盖大多数算法。此外，我们强调杂波去除算法的要求，使用两个标准的杂波去除技术来检测一个典型的工业场景中的目标。在一般情况下，一个通用的框架，允许创建自动标记的数据集，以调查各种各样的任务。
英文摘要：
Integrated Sensing And Communication (ISAC)forms a symbiosis between the human need for communication and the need for increasing productivity, by extracting environmental information leveraging the communication network. As multiple sensory already create a perception of the environment, an investigation into the advantages of ISAC compare to such modalities is required. Therefore, we introduce MaxRay, an ISAC framework allowing to simulate communication, sensing, and additional sensory jointly. Emphasizing the challenges for creating such sensing networks, we introduce the required propagation properties for sensing and how they are leveraged. To compare the performance of the different sensing techniques, we analyze four commonly used metrics used in different fields and evaluate their advantages and disadvantages for sensing. We depict that a metric based on prominence is suitable to cover most algorithms. Further we highlight the requirement of clutter removal algorithms, using two standard clutter removal techniques to detect a target in a typical industrial scenario. In general a versatile framework, allowing to create automatically labeled datasets to investigate a large variety of tasks is demonstrated.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
