基于分数阶Fourier变换的微弱LFM信号检测

为了提高侦察系统对微弱LFM信号的检测能力,文章提出了一种基于分数阶Fourier变换的微弱LFM的检测方法。首先,分析LFM信号在离散分数阶Fourier变换计算条件下的输出信噪比,得出当观测信号的采样点数增大时,分数阶Fourier变换可有效改善输出信噪比。利用该结论,提出了通过提高信号的采样频率或者对已采样信号作插值的方法,改善分数阶Fourier变换对微弱LFM信号的检测。最后,仿真验证该方法是有效的。     

A multiscale transform denoising method of the bionic polarized light compass for improving the unmanned aerial vehicle navigation accuracy

In recent years, the bionic polarized light compass has been widely studied for the unmanned aerial vehicle navigation. However, it is found from the obtained investigation results that a polarized light compass with a sensitive and high dynamic range polarimeter still provides inferior output precision of the heading angle due to the presence of the noise generating from the compass.The noise is existed not only in the angle of the polarization image acquired by polarimeters but also in the out...     

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.     

润滑油红外光谱去噪预处理方法

采用小波包变换软阈值去噪方法对润滑油的红外光谱进行去噪预处理,结合偏最小二乘法进行定量预测,并与常用的平滑去噪方法进行对比。结果表明,小波包变换能有效地去除红外光谱的噪声,以此为基础建立的润滑油酸值模型的预测精度高于常用的平均平滑法和 Savitzky-Golay卷积平滑法这 2种平滑去噪方法的预测精度。