Interaction of oblique wave beam with ionospheric layer F2

Interaction of a powerful obliquely incident wave beam of decameter radio waves with the ionospheric F2 layer is analyzed. Much like the linear case, propagation through the natural anti-waveguide layer F2 splits the initial beam. Some part of its energy leaks through the ionospheric layer, the other part goes back along a downward trajectory. However, nonlinearity leads to further stratification of the ionospheric layer. A new feature, in comparison with the linear case, is appearing a narrow waveguide beneath the F2 layer maximum which traps a small part of the beam energy. We study the relationship between these parts of the wave field in a simplified model of parabolic F2 layer, with nonlinearity caused by thermal plasma expulsion from the high field intensity region. Analytical results are supplemented with numerical estimates of the effects.     

Evaluation of uncertainty in gravity wave potential energy calculations through GPS radio occultation measurements

The application of the Global Positioning System (GPS) radio occultation (RO) method to the atmosphere enables the determination of height profiles of temperature, among other variables. From these measurements, gravity wave activity is usually quantified by calculating the potential energy through the integration of the ratio of perturbation and background temperatures between two given altitudes in each profile. The uncertainty in the estimation of wave activity depends on the systematic biases and random errors of the measured temperature, but also on additional factors like the selected vertical integration layer and the separation method between background and perturbation temperatures. In this study, the contributions of different parameters and variables to the uncertainty in the calculation of gravity wave potential energy in the lower stratosphere are investigated and quantified. In particular, a Monte Carlo method is used to evaluate the uncertainty that results from different GPS RO temperature error distributions. In addition, our analysis shows that RO data above 30 km height becomes dubious for gravity waves potential energy calculations.     

IDENTIFICATION OF GYRO DRIFTS UNDER THREE AXIS ATTITUDE COUPLING

ＩＤＥＮＴＩＦＩＣＡＴＩＯＮＯＦＧＹＲＯＤＲＩＦＴＳＵＮＤＥＲＴＨＲＥＥＡＸＩＳＡＴＴＩＴＵＤＥＣＯＵＰＬＩＮＧＪＩＮＧＷｕｘｉｎｇ（荆武兴），ＷＡＮＧＸｕｅｘｉａｏ（王学孝），ＷＵＹａｏｈｕａ（吴瑶华）（ＨａｒｂｉｎＩｎｓｔｉｔｕｔｅｏｆＴｅｃｈｎ...     

基于功率复用的椭圆球面波函数非正交调制方法

围绕如何降低基于椭圆球面波函数的非正交调制（PSWF-NPSM）系统误码率，降低信号检测复杂度，引入调制信号功率复用思想，提出基于功率复用的椭圆球面波函数非正交调制（PD-PSWF-NPSM）方法。该方法对载波信号按子波带进行功率分配，增加了调制信号最小欧式距离，降低了系统误码率；在接收端，提出基于检测统计量的串行干扰相消信号检测方法，依据不同支路信号间功率差异，对信号进行分离、检测。理论与仿真分析表明，该方法在不降低系统频带利用率、调制信号功率谱、峰均功率比特性前提下，能够有效提高系统误码性能，降低调制信号检测复杂度；与原非正交调制方法相比，当误比特率（BER）为10^-5时，所提方法系统误码性能提升约1.7 dB。     

基于多传感器的裂纹扩展监测研究

疲劳裂纹扩展是结构健康监测的主要问题之一，为了保证金属结构的可靠和安全运行，实时监测结构的疲劳裂纹扩展过程十分必要。针对结构裂纹扩展的问题，采用压电传感器（PZT）和电阻应变片两种传感器，提出结合能够连续监测结构损伤的被动监测方法以及对微小损伤敏感的主动监测方法对裂纹扩展进行综合监测，以提高裂纹扩展的监测水平。采用随机森林算法对裂纹长度进行识别，并使用D-S证据理论对两种传感器的识别结果进行数据融合，得到比单一传感器更准确、可靠的裂纹扩展识别结果。进行了基于应变和主动Lamb波的裂纹扩展监测实验研究，验证了该方法对提高裂纹扩展监测识别准确率的有效性和实用性。     

基于深度学习的目标跟踪技术及其多波段应用研究

目标跟踪是计算机视觉领域中最具挑战性的领域之一。首先，回顾了目标跟踪技术发展现状并总结出目标跟踪的一般流程；其次，分析了卡尔曼滤波、粒子滤波等传统目标跟踪方法的优缺点；再次，依次重点介绍了固定窗跟踪等相关滤波目标跟踪方法，以及全网络自适应目标跟踪等高性能目标跟踪方法；最后，总结了目标跟踪在红外、毫米波、太赫兹等波段的应用，并对多波段融合目标跟踪进行了展望。     

表面组装技术的应用与发展（下）

本文主要对表面组装技术的特点、表面组装工艺和表面组装技术的现状及发展趋势进行了全面的介绍，并分析了贴片机、网板印刷机、回流焊、波峰焊对表面组装工艺的影响。     

蜡纸存贮法在高超声速脉冲风洞舵-锥干扰流场显示中的应用

简述了蜡纸存贮法在高超声速脉冲风洞锥—舵干扰流场显示中的应用，给出了迎风面内舵周围干扰区立体和平面展开两种油流谱图，揭示了其三维干扰流动的特征。     

Critical phenomenon,crisis and transition to spatiotemporal chaos in plasmas

In a driven/damped drift-wave system a steady wave induces nonlinear variation of the dispersion of a perturbation wave (PW). Competition between the nonlinear dispersion with self-nonlinearity of the PW results in rich wave dynamic behaviors. In particular, a steady wave at the negative tangency slope of a hysteresis becomes unstable due to a saddle instability. It is found that such saddle steady wave (SSW) plays an important role in the discontinuous transition from a spatially coherent state to spatiotemporal chaos (STC). The transition is caused by a crisis due to a collision of the PW attactor to an unstable orbit of the SSW. In the time evolution, it is a ‘pattern resonance’ of the realized wave with the virtual SSW that triggers the crisis. The transition also displays as a critical phenomenon in parameter space, which is related to the change in the symmetry property of the motion of master mode (k = 1) of the PW with respect to that of SSW. In the spatially coherent state the former is trapped by the SSW partial wave, while in the STC it can become free from the latter, its trajectory crosses two unstable orbits of the SSW frequently, causing very turbulent behavior. This revised version was published online in August 2006 with corrections to the Cover Date.     

基于复合优化的航空发动机模型参数估计

本文提出了一种复合优化方法,用于发动机多变量,状态空间模型的时域辨识。优化中粒子群优化算法和最小二乘优化算法按照“串联”方式运行。粒子群优化从一个初始种群出发,通过进化来搜索最优解。然而有些时候,粒子群算法会陷入次优解。那么最小二乘优化算法就可以从粒子群的次优解出发,通过共轭梯度法获得问题的最优解。本方法适用于待估计参数较多,且参数变化范围大的高阶多变量系统。本文将复合优化算法用于4输入4输出状态变量模型参数的估计。仿真结果表明了所提出方法的有效性。