In this paper, an adaptive filtering minimum entropy detector (AF-MED) method is proposed, which is an improvement on the minimum entropy detector (MED) method. The improvement can be divided into two parts. Firstly, in view of the low detection rate of the MED method in the case of low signal-to-noise ratio (SNR), an adaptive filtering technology is added, which can accurately and dynamically determine the frequency range of the magnetic field according to the moving speed of the magnetic target, and effectively restrain the influence of environmental noise on the magnetic field. Compared with the MED method, the detection rate is increased by 48%. Secondly, using the kernel density estimation method to calculate the probability density value, the advantage is that there is no need to make any predictions or assumptions about the target, which makes the method more convenient to achieve. Furthermore, in this study, numerous simulations and experiments were performed, and the cell averaging constant false alarm rate detector was used to calculate the detection rate. The average value of detection rates of AF-MED, MED and the orthogonal basis function (OBF) are about 69%, 21% and 43% respectively when SNR is low (SNR from −25 dB to −50 dB). The results demonstrated the superiority of the proposed method over the MED and the OBF.

中文翻译：

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基于光泵磁强计的标量磁探测自适应滤波熵监测方法

本文提出了一种自适应滤波最小熵检测器（AF-MED）方法，它是对最小熵检测器（MED）方法的改进。改进可以分为两个部分。首先，针对MED方法在低信噪比（SNR）情况下检出率低的问题，增加了自适应滤波技术，可以根据磁目标的移动速度，有效抑制环境噪声对磁场的影响。与MED法相比，检出率提高了48%。其次，使用核密度估计方法计算概率密度值，优点是不需要对目标做任何预测或假设，这使得该方法更易于实现。此外，在本研究中，进行了大量的模拟和实验，并使用细胞平均恒定误报率检测器来计算检测率。AF-MED、MED和正交基函数（OBF）检测率的平均值在SNR较低（SNR从-25 dB到-50 dB）时分别约为69%、21%和43%。结果证明了所提出的方法优于 MED 和 OBF。当 SNR 较低时（SNR 从 −25 dB 到 −50 dB）分别为 21% 和 43%。结果证明了所提出的方法优于 MED 和 OBF。当 SNR 较低时（SNR 从 −25 dB 到 −50 dB）分别为 21% 和 43%。结果证明了所提出的方法优于 MED 和 OBF。