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A New Method for Sorting Radar Signal Based on Entropy Features

机译:一种基于熵特征的雷达信号进行排序的新方法

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In order to figure out shortcomings of the existing method, such as the accuracy is not high and the method is sensitive to noise, we firstly Obtain the Wigner distribution space and bispectrum space for the received radar signal, then divide the space into subspace. Under the subspace distribution probability, the information entropy features of radar signals are constructed into two-dimensional eigenvectors, which reflects the energy distribution of the signal in these two spaces. Through the simulation results, it shows that extracted characteristic parameters have good separation and stability in the range of wide signal to noise ratio, verifying the validity of the method in this passage.
机译:为了弄清楚现有方法的缺点,例如精度不高,方法对噪声敏感,我们首先获得所接收的雷达信号的Wigner分配空间和BISPectrum空间,然后将空间划分为子空间。在子空间分布概率下,雷达信号的信息熵特征被构造成二维特征向量,其反映了这两个空间中信号的能量分布。通过仿真结果,它表明提取的特性参数在宽信号范围内具有良好的分离和稳定性,噪声比范围内,验证该段落中的方法的有效性。

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