基于改进AHP的低轨星座传感器调度方法

针对低轨星座传感器调度,分析了影响调度的因素,用改进判断矩阵的构造方法建立相应的调度准则,提出了一种基于改进层次分析的传感器调度方法,有效克服了传统层次分析方法需要一致性检验的缺点。典型场景仿真结果表明：改进层次分析法的性能明显优于传统层次分析法。     

基于可拓学理论的冲压发动机传感器选型研究

依据已建立的亚燃冲压发动机一体化模型,采用可拓学理论中物元与关联函数的概念,将亚燃冲压发动机传感器选型中各个因素间的关系转化成关联函数矩阵,运用层次分析法确定各个因素的权重值,提出一种应用于亚燃冲压发动机传感器选型的综合评价方法.通过对亚燃冲压发动机燃烧室进口温度传感器选型的验证,表明此方法与工程实践相结合,可行性较高.     

一种新型电涡流位置传感器

分析了现有位置传感器存在的问题,简要介绍了电涡流位置传感器的测量原理、性能优势和推广应用.     

Remotely sensed thermal information applied to urban climate analysis

Urban heat island (UHI) effects on the ten most populated cities of Hungary, including the Budapest agglomeration area, were analyzed using remotely sensed data. Day- and night-time surface temperature time series observed by sensor MODIS on satellite Terra were used to determine UHI intensities. UHI intensity was defined as the difference in spatially averaged surface temperatures between urban and surrounding rural pixels. Spatial structures of UHIs were determined and compared for different seasons and macrocirculation conditions.     

论微电子机械系统MEMS

简介了微电子机械系统MEMS的基本概念、构成及显著特点 ,并对微电子机械系统的典型器件如传感器 ,执行器等作了介绍与分析 ,提出了微系统之间要研究的问题 ;探讨了微电子机械系统的发展应用前景     

航空微机电系统非硅材料微纳加工技术

随着对航空飞行器智能控制的迫切需求,硅基微机电系统MEMS(Micro-electromechanical Systems)传感器和执行器难以满足飞行器恶劣的运行环境,因而以碳化硅、氮化铝等为代表的多种MEMS特种材料被不断研究和使用.概述这些特种材料的机电特性有利于缩小特种传感器研发的材料选择范围;而针对兼具机械和电学两方面应用的碳化硅、氮化铝和聚合物前驱体陶瓷开展微纳加工技术的综述,有利于全面了解这3种材料的成型成性关键工艺,进而揭示从航空特种材料到MEMS器件的加工技术发展规律,为普遍使用电信号的航空特种传感器的研发提供加工手段借鉴.     

低轨星座传感器资源实时调度方法

针对低轨星座传感器资源调度问题,提出了一种基于几何精度衰减因子（GDOP）和目标位置估计误差椭球的调度方法,该方法综合考虑了目标的静态、动态定位因素,优先选择卫星目标视线垂直于误差椭球长轴的传感器资源对目标进行跟踪。仿真结果表明,与已有的仅考虑GDOP的调度方法相比,该方法既节省了传感器资源,又提高了目标的跟踪精度。     

A satellite schedulability prediction algorithm for EO SPS

With notably few exceptions, the existing satellite mission operations cannot provide the ability of schedulability prediction, including the latest satellite planning service (SPS) standard-Sensor Planning Service Interface Standard 2.0 Earth Observation Satellite Tasking Extension (EO SPS) approved by Open Geospatial Consortium (OGC). The requestor can do nothing but waiting for the results of time consuming batch scheduling. It is often too late to adjust the request when receiving scheduling failures. A supervised learning algorithm based on robust decision tree and bagging support vector machine (Bagging SVM) is proposed to solve the problem above. The Bagging SVM is applied to improve the accuracy of classification and robust decision tree is utilized to reduce the error mean and error variation. The simulations and analysis show that a prediction action can be accomplished in near real-time with high accuracy. This means the decision makers can maximize the probability of successful scheduling through changing request parameters or take action to accommodate the scheduling failures in time.     

双通道测角传感器在航天控制中的应用

双通道测角传感器在航天控制中的应用陈乃川北京航天自动控制研究所１００８５４摘要双通道测角传感器的基本原理，对计算机接口方案的要求在本文中作了扼要介绍，重点描述了双通道控制信号异步传输中的极性判据的建立、校验和耦合方法。试验验证了此方案是可行的。主题词...     

三轴稳定卫星的星敏感器对地定姿精度分析

给出利用星敏感器进行惯性姿态和对地姿态确定的流程,重点分析了惯性姿态向对地姿态转换过程中的误差传播关系,给出了相应的误差传播矩阵和误差传播影响因子。仿真表明,由于坐标转换时引入轨道参数误差,误差传播影响因子一般在1~2之间,因而使得对地定姿精度较惯性定姿精度稍低。