液体晃动试验数据处理方法的改进

本文在液体晃动等效力学模型的频响函数拟合方法的基础上，给出了一种改进的液体晃动试验采集和数据处理方法，如两参数识别和单参数识别。应用本文的方法，可以有效地提高试验效率，精度也满足工程的要求。     

材料疲劳性能数据库

论述了材料疲劳性能数据库的库结构设计及数据处理方法。     

企业信息管理系统开发应用刍议

分析了企业在ＭＩＳ开发中存在的问题。提出了如何从提高企业经济效益出发，建立起切实可行的信息系统。     

全国大学生电子设计竞赛辅导浅析

本介绍了全国大学生电子设计竞赛的赛前辅导工作，说明了其辅导的过程及其对教学工作的启示。     

天地一体化飞行器测控通信网络体系构建

空间信息综合应用是未来航天的发展趋势,引进网络化技术,打造天地一体化测控通信网是实现信息综合应用的必由之路.一体化测控通信网作为空间信息传输、分发的公共基础设施,将各类飞行器、地/海/空/天基测控站（接收站）及指控中心、测控中心、用户等都作为网中的标准节点,以实现测控通信任务统一指挥控制、飞行器态势综合显示、测控通信资源综合利用和可持续发展.从新时期航天科技的发展特点得出,空间网络化是必然发展趋势.总结了国内外航天网络化发展的研究成果,提出测控通信网络化的定义、未来体系结构以及实施步骤,设计了空间网络化飞行验证试验的基本方案,剖析了空间网络化体系构建的关键技术.     

Primary mass discrimination of high energy cosmic rays using PNN and k-NN methods

Probabilistic neural network (PNN) and k-Nearest Neighbors (k-NN) methods are widely used data classification techniques. In this paper, these two methods have been used to classify the Extensive Air Shower (EAS) data sets which were simulated using the CORSIKA code for three primary cosmic rays. The primaries are proton, oxygen and iron nuclei at energies of 100?TeV–10?PeV. This study is performed in the following of the investigations into the primary cosmic ray mass sensitive observables. We propose a new approach for measuring the mass sensitive observables of EAS in order to improve the primary mass separation. In this work, the EAS observables measurement has performed locally instead of total measurements. Also the relationships between the included number of observables in the classification methods and the prediction accuracy have been investigated. We have shown that the local measurements and inclusion of more mass sensitive observables in the classification processes can improve the classifying quality and also we have shown that muons and electrons energy density can be considered as primary mass sensitive observables in primary mass classification. Also it must be noted that this study is performed for Tehran observation level without considering the details of any certain EAS detection array.     

The impact of different background errors in the assimilation of satellite radiances and in-situ observational data using WRFDA for three rainfall events over Iran

Satellite radiances and in-situ observations are assimilated through Weather Research and Forecasting Data Assimilation (WRFDA) system into Advanced Research WRF (ARW) model over Iran and its neighboring area. Domain specific background error based on x and y components of wind speed (UV) control variables is calculated for WRFDA system and some sensitivity experiments are carried out to compare the impact of global background error and the domain specific background errors, both on the precipitation and 2-m temperature forecasts over Iran. Three precipitation events that occurred over the country during January, September and October 2014 are simulated in three different experiments and the results for precipitation and 2-m temperature are verified against the verifying surface observations. Results show that using domain specific background error improves 2-m temperature and 24-h accumulated precipitation forecasts consistently, while global background error may even degrade the forecasts compared to the experiments without data assimilation. The improvement in 2-m temperature is more evident during the first forecast hours and decreases significantly as the forecast length increases.     

GNSS接收机中采样率对时间鉴别力的影响

探讨了GNSS系统中,伪码跟踪环的时间鉴别力与采样率之间的定量关系,提出了时间鉴别力的性能评估准则及其计算方法。然后以GPS L5信号为例,重点考察多普勒效应对采样系统时间鉴别力的影响。实验表明,一般来说,随着采样率的增加,采样系统的时间鉴别力也会随之提高。但是当采样率接近或者恰好等于码片速率的整数倍时,采样系统的时间鉴别力会陡然下降。虽然多普勒效应能够显著改善等量采样系统的时间鉴别力,但是与设计良好的非等量采样率相比,其改善程度十分有限。本文提出的算法可以应用于GNSS数字接收机设计工作,以选择“较优”的采样率,即以较低的硬件成本实现较高的时间鉴别力。
     

基于我国VLBI网航天器定位归算仿真分析

结合我国VLBI观测网现状,通过仿真计算分析了观测时延噪声与系统差、预报轨道偏差和测距误差等对航天器定位归算的影响。结果表明,仅利用VLBI跟踪时附加飞行器地心距约束有利于压制定位点的弥散。 3站 VLBI跟踪的定位解是有偏估计,4站跟踪时要求所加约束的误差应与预报轨道偏差相当,若过大将起不到压制定位点弥散的良好效果,若过小则会在定位结果中引入系统偏差。时延与测距的观测噪声主要引起定位点序列的弥散。若观测量存在系统差则将引起定位结果的系统性偏差,而且定位点序列会发生渐近线性趋势跳变。同时,这也可以作为观测量是否存在系统差的判据。另外,若某时刻前后VLBI跟踪站存在3、4站变更,定位点序列有时发生趋势变化。分析结论对于我国后续探月和萤火计划等工程实践具有借鉴意义。     

测控信息传输可靠性保障方法研究

随着IP（互联网协议）在测控领域的广泛应用,丢包、时延等IP网络特性对测控信息传输的可靠性提出了挑战。针对遥/外测、引导及上行控制类数据在信息传输各个环节的技术特点,本文深入研究了各类测控数据的信息传输模型及工作流程,提出了适用于不同场景的可靠性保障方法,并通过数学仿真进行了计算分析。仿真结果表明,队列中断选切策略可有效保障遥/外测及引导类信息的可靠传输,N判M模式下的上行控制类信息传输可靠性优于N选1模式。