国内常用分散式数据采集器的性能介绍

介绍了三种数据采集器，并对其性能进行比较。     

测速元对弹道定位精确度的影响

对于弹道参数的数据融合问题,过去一般只考虑了多个测距元情况下,弹道位置参数精确度的改善.自从文[1]提出了测速定轨的原理和计算方法以及文[2]利用测速元诊断测距元的测量系统误差以后,使人们对测量系统中测速元的作用有了新的认识.讨论了在主体为测距元的测量系统中,若有一个或若干测速元,这些测量元素对弹道位置参数精确度的影响.结果表明测速元能显著提高弹道参数的精确度.     

先进战斗机强度设计技术发展与实践

新一代先进战斗机对机体平台的要求可以总结为轻重量、长寿命、多功能以及高承载。实现这个目标，除了材料与制造（新材料、新工艺、新结构/装配）的贡献，主机所强度设计/分析/验证技术也必须提升以适应先进战斗机的研制要求。本文阐述了强度设计团队围绕结构完整性要求，近年来在结构强度设计/分析/验证方面的研究成果、技术发展与设计实践，主要包括：面向新一代战斗机强度设计与验证的规范架构，基于多维包线的结构载荷筛选技术，基于统一模型的全机内力分析技术，复合材料整体化结构分析技术，高精度快速细节应力分析技术，内埋武器舱预紧舱门原理与强度设计，双曲面加筋壁板快速建模及声疲劳分析方法，结构故障预测与健康管理系统设计等。上述研究成果已成功应用于新一代战斗机机体平台研制。     

机载计算机安装架的强度计算

:叙述用有限元计算方法对特定的机载计算机安装架进行结构强度计算 ,内容包括静强度计算、结构自由振动分析和波形为后峰锯齿波的冲击载荷作用下的冲击响应分析。计算结果对安装架的设计具有重要的指导意义。     

基于Gauss-Newton法的L1数据拟合

在数据拟合中，当个别数据存在较大测量误差时，采用Ｌ１准则对数据进行拟合要优于最小二乘准则。本文通过建立Ｌ１准则与最小二乘准则之间的关系，给出了一种基于Ｇａｕｓｓ－Ｎｅｗｔｏｎ法的Ｌ１数据拟合自满。计算结果表明，该方法易于理解，便于编程，具有一定的理论意义和现实意义。     

卫星释放速度验证的数据分析方法

以神舟七号飞船释放伴随卫星为背景,重点研究卫星在轨释放速度的地面试验验证。提出了一种试验数据处理的方法,并详细分析了试验中可能产生的各种误差,将试验结果的偏差控制在±1%以内。根据伴随卫星实际运行数据,证明了地面试验分析方法的有效性。     

Specification of the Earth’s plasmasphere with data assimilation

In this paper we report on initial work toward data assimilative modeling of the Earth’s plasmasphere. As the medium of propagation for waves which are responsible for acceleration and decay of the radiation belts, an accurate assimilative model of the plasmasphere is crucial for optimizing the accurate prediction of the radiation environments encountered by satellites. On longer time-scales the plasmasphere exhibits significant dynamics. Although these dynamics are modeled well by existing models, they require detailed global knowledge of magnetospheric configuration which is not always readily available. For that reason data assimilation can be expected to be an effective tool in improving the modeling accuracy of the plasmasphere. In this paper we demonstrate that a relatively modest number of measurements, combined with a simple data assimilation scheme, inspired by the ensemble Kalman filtering data assimilation technique does a good job of reproducing the overall structure of the plasmasphere including plume development. This raises hopes that data assimilation will be an effective method for accurately representing the configuration of the plasmasphere for space weather applications.     

一种防空型号武器控制系统软件架构设计方法

主要介绍了防空型号武器控制系统软件设计的一般要求及特点,并介绍了各种软件设计所需要的操作系统、开发语言及调试环境。最后结合实际型号的工程研制过程给出了武器控制软件设计的一种基本架构。     

Fronts and thermohaline structure of the Brazil–Malvinas Confluence System

Fronts and thermohaline structure of the Brazil–Malvinas Confluence System (BMCS) are studied from climatic data, “Marathon Exp. Leg.8, 1984” data, and Sea surface temperature (SST) data base “ds277-Reynolds” (1981–2000). The South Atlantic Central Water (SACW) is divided in two main types: tropical (TW) and subtropical water (ST). Water masses, Fronts, Inter-Frontal and Frontal Zones are analysed and classified: (a) the water masses: Tropical Low-Salinity Water, Tropical Surface Water, Tropical Tropospheric Water, Subtropical Low-Salinity Water, Subtropical Surface Water, Subtropical Tropospheric Water. T,S characteristics of intermediate, deep and bottom water defined by different authors are confirmed and completed; (b) the Inter-Frontal Zones: Tropical/Brazil Current Zone, Subtropical Zone and Subantarctic Zone; (c) the Frontal Zones: Subtropical, Subantarctic and Polar, and (d) the Fronts: Subtropical Front of the Brazil Current, Principal Subtropical Front, North Subtropical Front, Subtropical Surface Front, South Subtropical Front, Subantarctic Surface Front, Subantarctic Front and Polar Front. Several stable T–S relationships are found below the friction layer and at the Fronts. The maximum gradient of the oceanographic characteristics occurs at the Brazil Current Front, which can be any of the subtropical Fronts, depending on season. Minimum mean depth of the pycnocline coincides with the Fronts of the BMCS, indicating the paths of low-salinity shelf waters into the open ocean. In the work it is shown how to recover the horizontal and vertical thermohaline structure of waters from satellite data RSMAS SST.