With the rising popularity of artificial intelligence (AI), also target surveillance based on radar sensors aims to tap the potential of AI enabled through today's computational capacities. Here, we present a survey of past approaches as well as recent hot topics in the area of AI approaches for target surveillance with radar sensors that reveal new potential for the development of novel approaches in research and practice. We focus on the major research streams of clutter identification, target classification, and target tracking, which are not only of great importance for an adequate operation of radar applications, but are also well suited for the use of AI. Thereby, we hope to contribute to a better understanding of how AI can be applied to assist conventional radar sensor approaches or even serve as an alternative. In addition, we give insight to our own findings in the selected areas.

中文翻译：

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使用雷达传感器进行目标监视的人工智能方法综述


随着人工智能 (AI) 的日益普及，基于雷达传感器的目标监视也旨在挖掘通过当今计算能力实现的人工智能的潜力。在这里，我们对利用雷达传感器进行目标监视的人工智能方法领域的过去方法以及最近的热门话题进行了调查，揭示了研究和实践中开发新方法的新潜力。我们专注于杂波识别、目标分类和目标跟踪等主要研究方向，这不仅对于雷达应用的充分运行非常重要，而且也非常适合人工智能的使用。因此，我们希望有助于更好地理解人工智能如何应用于辅助传统雷达传感器方法，甚至作为替代方案。此外，我们还深入探讨了我们自己在选定领域的发现。