摘要
提出一种新的基于有序统计的恒虚警检测器和一种新的自动筛选技术。这种新的检测器是广义有序统计单元平均（ＧＯＳＣＡ）恒虚警算法。对这种新的恒虚警算法在斯威林２型目标假设下，我们获得了虚警概率、探测概率和度量ＡＤＴ的解析表达式。在均匀背景和强干扰存在的情况下，分析了它的探测性能，并把它与ＯＳ－ＣＦＡＲ进行了比较。分析结果表明，ＧＯＳＣＡ－ＣＦＡＲ在均匀干扰背景和多目标情况下均具有较好的探测性能，而ＧＯＳＣＡ－ＣＦＡＲ参考滑窗单元幅值排序的处理时间还不到ＯＳ－ＣＦＡＲ的一半。
This paper presents a new CFAR detector based on ordered statistic and a new automatic censoring technique. This new detector is a generalized ordered statistic cell averaging (GOSCA )CFAR processpr. Fpr this new CFAR detector we obtain analytic expressions of the false alarm rate, the detecction probabilities and the measure ADT under the Swerling 2 assumption. We analyze its detection performance in homogeneous background and in the presence of strong interfering targets,and compare it to OS-CFAR. This analysis shows that the GSCA-CFAR detecor has the better detection performance in both homogeneous background and multiple target situations while the provessing time of the detevtor is less than half the processing time of the OS-CFAR detector in ordering magnitudes of the cells in a reference window.
出处
《现代雷达》
CSCD
1995年第2期85-93,共9页
Modern Radar
