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Analysis of Some CFAR Detectors in Nonhomogenous Environments Based on Switching Algorithm

机译:基于交换算法的非源性环境中的一些CFAR探测器分析

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In radar signal processing distinction of false targets from real targets and fixing their rate in different radar environments is desirable. In this paper, at first, Switching Constant False Alarm Rate (S-CFAR) processor has been improved to achieve Improved SCFAR in order to fix the false alarm rate not only in homogenous environment only with thermal noise but also in non-homogenous environment, consisting clutter edge and multiple targets in the background Gaussian noise. Then in continue, a new CFAR detector which is composed of an excisior and a Switching CFAR detector, in an environment with K distribution, has been introduced. The new detector is named an Excision Switching CFAR (EXS-CFAR). The equations have been achieved by assuming the targets in Swerling I and closed form. The simulation results confirm that the introduced processors can fix the false alarm rate in both homogenous and non-homogenous environment with less detection loss. In addition, this method is simpler in implementation comparing with other samples ordering processors.
机译:在RADAR信号处理中,优选从真实目标与真实目标的虚假目标的区别,并在不同的雷达环境中修复其速率。在本文中,首先,改进了切换恒定的误报率(S-CFAR)处理器以实现改进的SCFAR,以便仅在均匀的环境中仅具有热噪声而且在非同质环境中进行误报率,而且在背景高斯噪声中组成杂波边缘和多个目标。然后,已经介绍了一种新的CFAR检测器,该探测器由具有基础有源和开关CFAR检测器组成的,在具有K分布的环境中,已经介绍。新探测器命名为切除切换CFAR(EXS-CFAR)。通过假设抖动I和封闭形式的目标来实现方程。仿真结果证实,引入的处理器可以在均匀和非同质环境中修复误报率,检测损失较少。此外,与其他样本订购处理器相比,这种方法更简单。

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