The constant false alarm rate (CFAR) process is essential for target detection in radar systems. Although the detection performance of the CFAR process is normally guaranteed in noise-limited environments, it may be dramatically degraded in clutter-limited environments since the probabilistic characteristics for clutter are unknown. Therefore, sophisticated CFAR processes that suppress the effect of clutter can be used in actual applications. However, these methods have the fundamental limitation of detection performance because there is no feedback structure in terms of the probability of false alarm for determining the detection threshold. This paper presents a robust control scheme for adjusting the detection threshold of the CFAR process while estimating the clutter measurement density (CMD) that uses only the measurement sets over a finite time interval in order to adapt to time-varying cluttered environments, and the probability of target existence with finite measurement sets required for estimating CMD is derived. The improved performance of the proposed method was verified by simulation experiments for heterogeneous situations.

中文翻译：

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杂乱环境中CFAR流程检测阈值的鲁棒控制。

恒定的误报率（CFAR）过程对于雷达系统中的目标检测至关重要。尽管通常在噪声受限的环境中可以确保CFAR处理的检测性能，但是由于杂波的概率特性未知，因此在杂波受限的环境中CFAR处理的检测性能可能会大大降低。因此，可以在实际应用中使用抑制杂波影响的复杂CFAR工艺。然而，这些方法具有检测性能的根本限制，因为就确定检测阈值的错误警报的可能性而言，没有反馈结构。本文提出了一种鲁棒的控制方案，用于调整CFAR过程的检测阈值，同时估算仅在有限时间间隔内使用测量集的杂波测量密度（CMD），以适应随时间变化的杂波环境，以及概率用估计CMD所需的有限度量集导出目标存在的估计。通过针对异构情况的仿真实验，验证了该方法的改进性能。