基于CDMA容量的星载多波束天线赋形分析

建立LEO-CDMA通信系统容量分析模型,给出系统容量的计算方法,从系统容量的角度出发对比分析运用遗传算法赋形得到的波束增益模型和基于二阶锥形模型的波束增益模型的系统容量。结果表明,基于二阶锥形增益模型的系统容量约为基于赋形增益模型系统容量的两倍。分析结果为多波束接收天线的系统设计及赋形方案设计提供了理论依据。     

编队卫星姿态的自适应协同控制

研究了无向信息交互条件下的多卫星姿态同步和跟踪问题,分别在模型参数精确已知和存在模型参数不确定性的情形下设计分散式协同控制算法。当模型参数精确已知时,基于滑动模态变量设计的协同控制力矩,实现了编队卫星姿态的同步机动,即保证编队卫星姿态的同步,并同时跟踪期望的时变参考姿态轨迹。当在轨卫星存在模型参数不确定性和常值未知扰动力矩时,提出了一种自适应协同控制律,仍能实现多卫星姿态的同步机动。基于Lyapunov-Krasovskii的分析表明,当星间链路存在任意未知的定常通讯时延时,本文设计的控制器有效。数值仿真算例验证了本文提出的控制算法。     

城市供水调度系统的现状与发展

简述国内城市供水调度系统的应用现状，指出在实际应用中存在的问题和解决的途径。并介绍了系统几年来的发展及今后的趋势。     

用户星对中继卫星的跟踪规律研究

根据中继卫星系统中用户星跟踪中继卫星的要求，定义了用户星天线坐标系，推导出了用户星天线对中继卫星的跟踪规律。通过该跟踪规律可以推出用户星天线跟踪中继卫星的跟踪角度、角速度和角加速度。同时，在给定系统一定初始条件的情况下，利用该跟踪规律分别推出了用户星最大跟踪角度和角速度与用户星轨道高度和用户星轨道倾角之间的关系。最后利用STK(Satellite Tool Kit)对该跟踪规律进行了间接验证。     

临近空间测控系统技术特征分析

临近空间飞行器的兴起对测控与信息传输（以下可简称测控）系统提出了与传统航天、航空     

A spanwise loss model for axial compressor stator based on machine learning

In the early stage of aircraft engine design, the through-flow method is an important tool for designers. The accuracy of the through-flow method depends heavily on the accuracy of the loss model. However, most existing models cannot(or cannot well) provide the spanwise loss distribution. To construct an effective spanwise loss model, both turbomachinery knowledge and machine learning skills were used in this paper. A large number of numerical simulations were carried out to build a database con...     

Advances and challenges on springback control for creep age forming of aluminum alloy

Creep age forming(CAF) is an advanced forming technology that combines creep deformation and age hardening processes. When compared with the conventional forming technologies including roll bending and shot-peen forming, CAF has many advantages of low residual stress,excellent dimensional stability, good service performance and short production cycle. It is an optimal technique for precise manufacturing for shape and properties of large-scale complicated thinwalled components of light-weight and...     

Space time clock: An on-chip clock with 10-12 instability

High precision and stable clock is extremely important in communication and navigation. The miniaturization of the clocks is considered to be the trend to satisfy the demand for5G and the next generation communications. Based on the concept of meter bar and the principle of the constancy of light velocity, we designed a micro clock, Space Time Clock(STC), with the size smaller than 1 mm × 1 mm and the power dissipation less than 2 m W. Designed in integrated circuit of 0.18 μm technology, the in...     

Application of SVM on satellite images to detect hotspots in Jharia coal field region of India

The present paper deals with the application of Support Vector Machine (SVM) and image analysis techniques on NOAA/AVHRR satellite image to detect hotspots on the Jharia coal field region of India. One of the major advantages of using these satellite data is that the data are free with very good temporal resolution; while, one drawback is that these have low spatial resolution (i.e., approximately 1.1 km at nadir). Therefore, it is important to do research by applying some efficient optimization techniques along with the image analysis techniques to rectify these drawbacks and use satellite images for efficient hotspot detection and monitoring. For this purpose, SVM and multi-threshold techniques are explored for hotspot detection. The multi-threshold algorithm is developed to remove the cloud coverage from the land coverage. This algorithm also highlights the hotspots or fire spots in the suspected regions. SVM has the advantage over multi-thresholding technique that it can learn patterns from the examples and therefore is used to optimize the performance by removing the false points which are highlighted in the threshold technique. Both approaches can be used separately or in combination depending on the size of the image. The RBF (Radial Basis Function) kernel is used in training of three sets of inputs: brightness temperature of channel 3, Normalized Difference Vegetation Index (NDVI) and Global Environment Monitoring Index (GEMI), respectively. This makes a classified image in the output that highlights the hotspot and non-hotspot pixels. The performance of the SVM is also compared with the performance obtained from the neural networks and SVM appears to detect hotspots more accurately (greater than 91% classification accuracy) with lesser false alarm rate. The results obtained are found to be in good agreement with the ground based observations of the hotspots. This type of work will be quite helpful in the near future to develop a hotspots monitoring system using these operational satellites data.     

刀具库房信息化管理实践及展望

本文针对科研生产混合型的数控车间刀具库房管理过程,以流程优化、完善制度和信息化管理为重点,总结归纳出刀具库房信息化管理的方法和手段,并以中航工业北京航空制造工程研究所数控某刀具库房信息化系统建设为实例,说明了刀具库房管理实施方法及过程。