Inner Attitude Integration Algorithm Based on Fault Detection for Strapdown Inertial Attitude and Heading Reference System

This article proposes a new inner attitude integration algorithm to improve attitude accuracy of the strapdown inertial attitude and heading reference system(SIAHRS), which, by means of a Kalman filter, integrates the calculated attitude from the accelerometers in inertial measuring unit(IMU), called damping attitudes, with those from the conventional IMU. As vehicle's acceleration could produce damping attitude errors, the horizontal outputs from accelerometers are firstly used to judge the vehicle's motion so as to determine whether the damping attitudes could be reasonably applied. This article also analyzes the limitation of this approach. Furthermore, it suggests a residual chi-square test to judge the validity of damping attitude measurement in real time, and accordingly puts forward proper information fusion strategy. Finally, the effectiveness of the proposed algorithm is proved through the experiments on a real system in dynamic and static states.     

Preliminary results of fair-weather atmospheric electric field in the proximity of Main Boundary Thrust,Northern Pakistan

The atmospheric electric Potential Gradient (PG) variation of fair-weather days at Muzaffarabad (MZF, Northern Pakistan) station is presented for the period of January 2015–October 2017. The present investigations focus on the diurnal variation of atmospheric PG on the seasonal and annual time scale. The fair-weather seasonal and annual average PG variation has revealed two peaks, i.e. a primary maximum peak and a secondary maximum peak. The average maximum PG value found is ～410?Vm^?1. The results are then compared with the well-known standard oceanic Carnegie curve. The diurnal curve of PG is found to deviate from the Carnegie curve. The seasonal PG variation at MZF shows lower values during the summer (monsoon) and autumn (post-monsoon) as compared to the winter and spring (pre-monsoon) which could be due to local aerosol concentration. Global comparison of PG (%) values of the annual mean at different longitude, with MZF observatory, shows local morning and evening peaks depicting local sunrise and sunset effects on the PG. The overall outcomes will certainly contribute to further investigate the Global Electric Circuit (GEC).     

基于欧拉方程的机翼设计方法及应用

以Takanashi提出的三维机翼设计理论为基础，研究与发展了一个基于欧方程和“正－反迭代、余量修正原理”的机翼设计方法。用改进的无限插值方法生成绕机翼的O－O贴体网格，采用三维欧拉方程作为充动分析计算的基本方程，该设计方法已用于某无人机机翼和一个超临界机翼设计，设计结果达到了预期的目标。     

一种分数间隔解相关修正判决反馈盲均衡算法研究

以消除多径效应对传输信号的影响、提高信号传输的效率为背景,在介绍基于CMA算法的判决反馈盲均衡算法(DFE算法)的基础上,提出了改进的分数间隔判决反馈盲均衡算法。通过实验仿真结果的分析表明,改进方法在收敛速度、剩余误差等方面取得明显改善,具有一定的实际应用价值。     

用N-S方程有限体积法计算弹体绕流/底喷流

用单元中心有限体积法在物理空间曲线网格离散积分形式N-S方程，用坐标变换计算粘性通量项中的各偏导数值，用Runge-Kutta三步显式格式进行时间推进求解。采用了人工粘性、当地时间步长及隐式残值光顺。计算了旋成体大迎角涡流和带底部喷流的绕流场。计算中发现，各向异性隐式残值光顺较之各向同性隐式残值光顺能更快地加速迭代过程的收敛。计算的物面压力分布与实验基本符合，计算的旋成体大迎角涡流图谱合理。计算结果说明底部喷流对旋成体绕流及空气动力载荷有显著影响。     

基于分段多项式建模的电离层污染校正算法研究

电离层污染使需要通过电离层传播的超视距雷达的回波谱展宽,影响雷达的目标检测性能。基于分段多项式建模的校正算法可用于解决电离层的相位污染问题,针对该算法在处理实际数据时遇到的问题,分析相位污染校正中可能出现的相位残差跳变的影响,并给出了相应的解决方案。此外,讨论电离层幅度污染的问题,给出简单的补偿方法,提供了电离层污染校正算法的完整流程。通过对实际数据的处理,验证了算法的有效性,算法更适合应用于工程实际。     

基于分区簇头选择簇间多跳的路由协议

针对LEACH协议在能耗方面存在的不足,提出了一种分区簇头选择和簇间多跳的新协议。该协议分区域进行簇头选举、考虑了节点剩余能量、簇间采用多跳的方式传输数据。仿真结果表明,与LEACH协议相比,新协议有效的均衡了节点能耗,提高了能量利用率,延长了网络寿命。     

Computation of unsteady turbomachinery flows: Part 1—Progress and challenges

There are numerous unsteady flow influences in turbomachinery. These can potentially make a substantial total impact on efficiency, and hence the environment and operating costs over the life of a gas turbine engine. These unsteadiness sources are reviewed. Also, the turbomachinery zones where unsteady modeling is mandatory for meaningful solutions is outlined. The various unsteady modeling hierarchies are reviewed. These range from linear harmonic to Direct Numerical Simulations (DNS). Unsteady reduced order modeling encompassing deterministic stresses and body forces are reviewed. Hierarchies are presented for different modeling lineages and fidelity levels. Mixed fidelity methods are proposed, where low and high fidelity treatments are combined. For example, Large Eddy Simulation (LES) and Unsteady Reynolds Averaged Simulations (URANS) being combined with body forces to provide appropriate system boundary conditions.A daunting array of modeling and numerical methods and strategies are found for the user to select. Each has their own theoretical limitations. Clearly a user must be aware of these. Reported performances of the different approaches are found to vary considerably between relatively similar applications. The reviewed work suggests that Computational Fluid Dynamics (CFD), as ever, is an activity that needs strong reviewing of processes, tools and overseeing of modeling practices. With regard to LES, grid densities used for typical complex geometry simulations currently appear to be too coarse. This reflects the lack of current computational performance and hence the need for reduced order models.     

基于超像素与多尺度残差U-Net相结合的遥感图像飞机检测方法

遥感图像中存在飞机很小、角度和位置不确定且背景复杂等问题,从遥感图像中检测飞机是一项重要且具有挑战性的任务,因此,提出一种基于超像素与多尺度残差U-Net(Multi-scale Residual U-Net,MSRU-Net)相结合的遥感图像飞机检测方法。首先对遥感图像进行超像素预分割,将位置相邻且像素特征相似的像素点组成若干个超像素,保持图像进一步分割的有效特征;然后构建多尺度残差U-Net,学习其多尺度判别特征。与传统的飞机检测方法相比,该方法用少量的超像素代替大量像素表达图像特征,降低了图像分割的复杂度,再利用MSRU-Net分割遥感超像素图像,有效检测不同尺度的飞机图像。在公共飞机遥感图像数据集上实验,结果表明,该方法能够有效的检测遥感图像不同尺度的飞机图像,检测精确率达到91.2 %。