利用引信及导引头多普勒遥测信号计算脱靶量的方法

根据引信多普勒频率测量原理,给出了利用引信及导引头多普勒遥测信号计算脱靶量的数学模型和计算方法,并结合算例进行了计算。经仿真及实际测量结果比对表明,计算方法实用可行,可为舰空导弹飞行试验结果分析与评定提供支持。     

基于数据扩充和特征增强的雷达回波无人机检测

针对基于雷达无人机目标识别难度高、精确度低、适应性差等问题，本文提出了利用深度学习的方法，对雷达回波进行无人机检测。首先，利用相参累积的方法生成雷达回波的距离-多普勒图像，增强目标特征并提高信噪比;其次，采用生成对抗模型对距离-多普勒图像进行数据扩充，以获得充足的图像数据减小网络的过拟合并提高网络鲁棒性;最后，使用基于位置感知的卷积神经网络增强特征，通过构建基于距离-多普勒图像的感知模块，实现对目标距离和运动速度的检测。通过在雷达回波序列中弱小飞机目标检测跟踪数据集上验证的结果表明:最终检测结果在召回率89%的情况下达到了91%的准确率。相比于基准方法，本文提出的方案具有更高的检测精度和更好的网络运行效率。     

舰载机-航母间径向距离的多普勒测量

通过对多普勒频移方程进行角度变换,并利用在下滑视角和坐标变量之间的对应关系导出了在三个站点的径向距离之间的递推关系.在此基础上,进一步利用固有的几何关系,即能由任一瞬间所测得的多普勒频移值,得到舰载机-航之间径向距离的解析解.随后进行的误差分析表明基于多普勒频移测距可以实现分米级的测量精度.     

Study of fast atoms in molecular gas plasma via emission spectroscopy

Fast atoms are generated in reactions of ions with the molecular gas in laboratory and astrophysical plasma. In hydrogen they are observed in the emission spectra via Excessive line broadening. Energetic atoms also occur in astrophysical plasma in hydrogen, nitrogen and oxygen. The proposal here is that low pressure discharges can be used to simulate the phenomena in certain space plasma. In this study, we have used a special configuration of the electrode system, to obtain energetic atoms in plasma of three types of diatomic gases (H₂, O₂, N₂). Emission spectroscopy was used to detect the atoms and measure their velocity. Energy analysis was performed to obtain atoms’ distributions and evaluate the mean energy of atoms. This was compared to the potential energy available from the electric field. The field acceleration model, previously established for hydrogen, was extended to nitrogen and oxygen. We suggest, that the same method of analysis can be applied for astrophysical plasma spectrum.     

基于变步长LMS算法的线性调频引信噪声抑制

利用自适应滤波技术,研究了线性调频引信通带内噪声的抑制问题。根据线性调频信号与噪声可预测性的差异进行噪声抑制,分析了噪声抑制原理。仿真结果表明,在SNB=-5dB时仍然可以达到很好的噪声抑制效果;在算法收敛的条件下,信噪比越小,噪声抑制对信噪比的相对改善越大。