分析了对角加载自适应匹配滤波器(diagonally loaded adaptive matched filter, DL-AMF)和对角加载自适应相干估计器(diagonally loaded adaptive coherence estimation, DL-ACE)的检测性能;推导了二者的渐近统计分布,得到了解析的虚警概率(probability of false alarm, PFA)和检测概率(probability of detection, PD)表达式。与常规AMF和ACE相比,尤其是在训练样本不足的情况下,DL-AMF和DL-ACE的检测性能大为提高,并且二者都具有渐近恒虚警(constant false alarm rate, CFAR)特性。
The diagonally loaded adaptive matched filter (DL-AMF) and the diagonally loaded adaptive coherence estimation (DL-ACE) are analyzed. The asymptotically statistical distributions are investigated and the analytical expression of their probabilities of false alarm (PFA’s) and probabilities of detection (PD’s) are derived. Compared with the AMF and the ACE, the PD’s of both the DL-AMF and the DL-ACE are improved dramatically, especially when the number of the secondary data is limited. In addition, they both possess the property of the asymptotically constant false alarm rate (CFAR).