This article proposes an accurate clutter synthesis method for a dynamic radar under various environmental conditions. Previous clutter synthesis methods mostly rely on empirical clutter models fitting the measurement results obtained from the limited conditions of observations. Inherently, these models have difficulties synthesizing clutter for unexplored environments and operational conditions. The method presented in this article overcomes this limitation by creating and summing the clutter patch by patch. The clutters of individual patches are synthesized by the clutter model corresponding to each patch’s specific conditions, such as the grazing angle, ground texture, and wind velocity. It enables one to synthesize clutter signals under various observation scenarios accurately. For example, this work demonstrates the synthesis of clutter signals from heterogeneous textures for an aircraft radar on a mission. Also, the clutter signals for a monopulse radar are synthesized and included in the radar simulation to evaluate the performance of a detection algorithm. Potentially, this method can be utilized to design a robust radar algorithm against the clutter environment of interests. For a given condition of measurement, it is shown that the synthesized clutters agree well with the actual measured data in their statistical characteristics. The program is freely available through the open code.

中文翻译：

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异构纹理和动态雷达环境的精确杂波合成


本文提出了一种动态雷达在各种环境条件下的精确杂波合成方法。以往的杂波合成方法大多依赖于经验杂波模型来拟合有限观测条件下获得的测量结果。本质上，这些模型难以合成未探索的环境和操作条件的杂波。本文提出的方法通过逐个创建杂波块并对其求和来克服了这一限制。各个斑块的杂波是通过与每个斑块的特定条件（例如掠射角、地面纹理和风速）相对应的杂波模型来合成的。它使得人们能够准确地合成各种观测场景下的杂波信号。例如，这项工作演示了如何从执行任务的飞机雷达的异构纹理中合成杂波信号。此外，还合成了单脉冲雷达的杂波信号并将其包含在雷达仿真中，以评估检测算法的性能。潜在地，该方法可用于设计针对感兴趣的杂波环境的鲁棒雷达算法。对于给定的测量条件，合成杂波的统计特性与实际测量数据非常吻合。该程序可通过开放代码免费获得。