Two typical gaussianizing filters and their application in active signal detection

Wang Pingbo, Liu Feng, Huang Jinhua, Wang Vu
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引用次数: 0

Abstract

For test definite signal in non-Gaussian interference background, the matched filter or the correlation test is no more optimal. The gaussianizing filter can weaken the bigger and strengthen the smaller samples in order to enhance the gaussianity of observed data, and to improve performance of subsequent matched filter or correlation test. Firstly, a widely applied non-Gaussian model, viz. Gaussian mixture, is described. Secondly, two typical gaussianizing filters, named U-filter and G-filter respectively, are studied. Thirdly, the matched filter with gaussianizing filter preposed is proposed and its detection performance is discussed. Finally, a numerical instance is illustrated.
两种典型的高斯化滤波器及其在主动信号检测中的应用
对于非高斯干扰背景下的确定信号测试,匹配滤波或相关测试都不是最优的。高斯化滤波可以对较大的样本进行减弱,对较小的样本进行增强,从而增强观测数据的高斯性,提高后续匹配滤波或相关测试的性能。首先,描述了一种广泛应用的非高斯模型,即高斯混合模型。其次,研究了两种典型的高斯化滤波器,分别为u型滤波器和g型滤波器。第三,提出了基于高斯化滤波的匹配滤波器,并对其检测性能进行了讨论。最后给出了数值算例。
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