Shin Jeong Hoon, Choi Youngjin
1st Research and Development Institute, Agency for Defense Development, Daejeon 34060, Korea.
Department of Electronic Systems Engineering, Hanyang University, Ansan 15588, Korea.
Sensors (Basel). 2020 Jul 13;20(14):3904. doi: 10.3390/s20143904.
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.
恒虚警率（CFAR）处理对于雷达系统中的目标检测至关重要。尽管CFAR处理的检测性能通常在噪声受限环境中得到保证，但在杂波受限环境中可能会显著下降，因为杂波的概率特性未知。因此，在实际应用中可以使用能够抑制杂波影响的复杂CFAR处理。然而，这些方法存在检测性能的根本限制，因为在确定检测阈值的虚警概率方面没有反馈结构。本文提出了一种鲁棒控制方案，用于在估计杂波测量密度（CMD）的同时调整CFAR处理的检测阈值，该方案仅使用有限时间间隔内的测量集以适应时变杂波环境，并推导了估计CMD所需的有限测量集下目标存在的概率。通过针对异构情况的仿真实验验证了所提方法的改进性能。
