MMC在电网质量监测海量数据存储中的应用研究

针对长时间电压参数监测中海量数据存储问题,提出了移植数码设备中大容量通用数码卡的存储思路,论述了MMC卡的基本结构和工作原理,设计了AT89S53与MMC卡的接口电路和系统软件,阐述了基于MMC自定义文件系统的数据存储实现软件,有效解决了问题。     

Mechanical behaviour of adhesively single lap joint under buckling conditions

Adhesive Single Lap Joints have been subjected to tensile and bending investigations by many researchers. However, the joint is also likely to experience buckling loading in some aerospace applications. The aim of this work is to investigate the joint behaviour under quasi-static buckling conditions. For this purpose, the joints with three different adherend thicknesses and 25 mm overlap length were tested using two different types of adherends and an adhesive film. They were modelled using a non-linear Finite Element Method via the ABAQUS Explicit package programme. Load to failure and stress distributions in the joints were predicted and compared with the experimental results, which were found in a good agreement. The adhesive layer in the joint was assumed to experience shear stresses under the buckling mode, similar to that in tensile loading, yet, the stress concentrations at the ends of the overlap, the main cause of the failure, resulted in different effects on the joint performance; for the buckling mode the critical stresses were in compression but for the tensile case in peeling. Unlike the latter, the former was found to prevent failure of the layer depending on the adherend thickness, causing different failure mechanisms. There were two different failure modes of the joints; a complete failure in the adhesive layer and large plastic deformation of adherends which could be a good source for crashworthiness situations. Mechanical properties of the adherends were found to play important roles on the joint performance.     

数据链作战使用性能试验方法研究

分析了数据链在现代战争中的重要作用,提出了表征数据链作战使用性能的指标体系、试验数据链作战使用性能的试验方法以及试验数据录取方法,并给出了相应的试验数据处理方法。     

多传感器融合状态估计方法综述

随着传感器网络技术的发展,多传感器融合状态估计凭借其鲁棒性、灵活性、可扩展性以及便于故障检测等优点,长期受到国内外学者的广泛关注,并取得了大量研究成果。数据融合的方法为融合状态估计奠定了理论基础,也是早期研究的主要方向,从20世纪70年代到20世纪末,相继发展出了集中式和分散式滤波架构及相应算法。无线通信技术的成熟以及一致性算法的出现使得分布式状态估计的研究进入了快车道,自2005年以来,大量基于一致性的分布式滤波算法被提出,其中不乏实用的经典方法和优秀的开创性方法。旨在梳理多传感器融合状态估计的发展,探究从数据融合到分布式滤波的内在联系,并对一些经典方法进行了总结。     

Loopy belief propagation based data association for extended target tracking

The data association problem of multiple extended target tracking is very challenging because each target may generate multiple measurements. Recently, the belief propagation based multiple target tracking algorithms with high efficiency have been a research focus. Different from the belief propagation based Extended Target tracking based on Belief Propagation (ET-BP) algorithm proposed in our previous work, a new graphical model formulation of data association for multiple extended target tracking is proposed in this paper. The proposed formulation can be solved by the Loopy Belief Propagation (LBP) algorithm. Furthermore, the simplified measurement set in the ET-BP algorithm is modified to improve tracking accuracy. Finally, experiment results show that the proposed algorithm has better performance than the ET-BP and joint probabilistic data association based on the simplified measurement set algorithms in terms of accuracy and efficiency. Additionally, the convergence of the proposed algorithm is verified in the simulations.     

Data processing center of RadioAstron space VLBI project

In this paper, questions on development, implementation, and operation of RadioAstron project Data Processing Center (DPC) are reviewed. The main components of the dedicated DPC are the computer complex with 1 TFlops/s performance, storage with memory capacity of approximately 10 PB, the network infrastructure, and the corresponding communication channels. Performance enhancement methods and resolution of information storage, archiving, and process problems of space VLBI high-speed digital data flows are analyzed. It is shown that successful operation of DPC is mainly provided by optimal organization of computer system structure, storage, and networking transmission. Some of the important key features of RadioAstron project DPC and its comparative differences from the standard VLBI procedures are considered.     

Reconciling space object observed and solar pressure albedo-areas via astrometric and photometric data fusion

There are many Resident Space Objects (RSOs) in the Geostationary Earth Orbit (GEO) regime, both operational and debris. The primary non-gravitational force acting on these RSOs is Solar Radiation Pressure (SRP), which is sensitive to the RSO’s area-to-mass ratio. Sparse observation data and mismodeling of non-gravitational forces has constrained the state of practice in tracking and characterizing RSOs. Accurate identification, characterization, tracking, and motion prediction of RSOs is a high priority research issue as it shall aid in assessing collision probabilities in the GEO regime, and orbital safety writ large. Previous work in characterizing RSOs has taken a preliminary step in exploiting fused astrometric and photometric data to estimate the RSO mass, shape, attitude, and size. This works, in theory, since angles data are sensitive to SRP albedo-area-to-mass ratio, and photometric data are sensitive to shape, attitude, and observed albedo-area. By fusing these two data types, mass and albedo-area both become observable parameters and can be estimated as independent quantities. However, previous work in mass and albedo-area estimation has not quantified and assessed the fundamental physical link between SRP albedo-area and observed albedo-area. The observed albedo-area is always a function of the SRP albedo-area along the line of sight of the observer. This is the physical relationship that this current research exploits. It is shown through simulation that due to this physical link, and through the fusion of astrometric and photometric data, it is possible to observe the mass of a space object when the area is not known. Results for data from 100 trajectories generated from randomly sampled initial conditions are shown. It is seen that even when the area of the object is not known, the uncertainty in mass can be lowered from an initial value of 800?kg to the range 500–700?kg for 72% of the samples, 200–500?kg for 13% of the samples, and 0–200?kg for 15% of the samples. It is further shown that although the uncertainties are large, the actual errors in mass are much lower, with the error RMS being less than 100?kg for 30% of the samples, between 100 and 200?kg for another 30%, and between 200 and 300?kg for 24% of the samples.     

Estimation of differential code biases with Jason-2/3 onboard GPS observations

With the continuous deployment of Low Earth Orbit (LEO) satellites, the estimation of differential code biases (DCBs) based on GNSS observations from LEO has gained increasing attention. Previous studies on LEO-based DCB estimation are usually using the spherical symmetry ionosphere assumption (SSIA), in which a uniform electron density is assumed in a thick shell. In this study, we propose an approach (named the SHLEO method) to simultaneously estimate the satellite and LEO onboard receiver DCBs by modeling the distribution of the global plasmaspheric total electron content (PTEC) above the satellite orbit with a spherical harmonic (SH) function. Compared to the commonly used SSIA method, the SHLEO model improves the GPS satellite DCB estimation accuracy by 13.46% and the stability by 22.34%, respectively. Compared to the GPS satellite DCBs estimated based on the Jason-3-only observations, the accuracy and monthly stability of the satellite DCBs can be improved by 14.42% and 26.8% when both Jason-2 and Jason-3 onboard observations are jointly processed. Compared with the Jason-2 solutions, the GPS satellite DCB estimates based on the fusion of Jason-2 and Jason-3 observations have an improved consistency of better than 18.26% and 9.71% with the products provided by the Center for Orbit Determination in Europe (CODE) and Chinese Academy of Sciences (CAS). Taking the DCB products provided by the German Aerospace Center (DLR) as references, there is no improvement in accuracy of the GPS satellite DCB estimates based on the fusion of Jason-2 and Jason-3 observations than the Jason-2 solutions alone. A periodic variation is found in the time series of both the Jason-3 and Jason-2 onboard receiver DCB estimates. Preliminary analysis of the PTEC distribution based on the estimated SH coefficients are also presented.     

小数偏差产品质量评估及固定性能分析

为了评估不同小数偏差产品的数据质量和模糊度固定效果，比较了2016年全年的SGG FCB产品和CNES产品，结果表明两种产品具有很高的一致性，SGG FCB产品的数据完整性更好。应用两种产品进行精密单点定位(PPP)固定解的静态结果平面位置精度可以达到1 cm以内，高程位置精度可以达到1~2 cm，采用两种产品获得的PPP模糊度固定率十分接近，动态模式下处理静态数据的位置结果可以达到平面2~3 cm，高程5 cm以内的精度，两组固定解的位置误差结果差异不超过5 mm，模糊度固定成功率分别为92.37%和92.14%，两种小数偏差产品在23分钟左右完成首次固定，能够有效提高PPP的收敛速度。使用两种小数偏差产品得到的机载动态数据结果也非常相近。     

基于CDMA-TDD系统的联合功率控制算法

针对常规的码分多址CDMA (Code Division Multiple Access)时分双工TDD (Time Division Duplex) 系统功率控制算法存在的缺陷,提出了一种基于通信链路当前状态信息的联合功率控制算法.从理论上推导了联合功率控制方程.在新算法中,所有移动终端调整后的新发射功率值是基于共同的通信资源得出的.分配在同一时隙的各个移动终端的功率调整是基于通信链路的当前状态信息,其中包括各移动终端下一步使用的调整后的新发射功率值.使得各移动终端能够平等的共享链路资源,加快功率控制的收敛.通过建立功能模型,验证和评估了这一新的算法.仿真结果表明这一新的功率控制算法优于当前的常规算法,能减小接收端信噪比动态范围,降低干扰信号强度,提高能量效率和系统容量.