基于双谱分析的高原灌木回波信号分类

目标的回波信号是无线电引信获得目标信息的最重要方式，为了太赫兹频段的引信前端未来能够投入高原战场，适应高原不同的地貌环境，利用双谱对高原在灌木地形下不同高度的太赫兹波回波特性进行了分析。为减少分类时间，对双谱数据进行积分，得到实采信号双谱切片的特征，进而利用最邻近算法对此进行分类。利用经验模态分解（EMD）提取原始数据内在模态函数的特征，再次分类并与前一组分类结果进行对比。通过一系列数据的分类，结果表明:利用一维的积分双谱信息可以有效提取出距离地面分别为2 m、3 m、4 m、5 m时的特征并进行分类，经验模态分解也可以有效提高分类的成功率，成功率最高可达90%以上。 

Classification of plateau shrub echo signal based on bispectrum analysis

The echo signal of the target is the most important way for radio fuze to obtain target information. This research employs bispectral analysis to examine the echo properties of terahertz wave at different heights of plateau in shrub terrain in order that the front-end of terahertz band fuze can be implemented into the plateau battle field in the future and adapt to the different landform environments of the plateau. In order to reduce the classification time, the bispectral data is integrated to obtain the bispectral slice features of the actual signal, and then the k-nearest neighbor algorithm is used for classification. Empirical mode decomposition (EMD) is used to extract the intrinsic mode function features of the original data, and the classification results are compared with the previous group. Through a series of data classification, the results show that using one-dimensional integrated bispectral information can effectively extract the features of 2 m, 3 m, 4 m, 5 m from the ground and classify them, empirical mode decomposition can also effectively improve the success rate of classification, the success rate can reach more than 90%.