CDAS 20m 天线分系统设计

ＣＤＡＳ天线分系统主要由天线机械结构、馈电网络、天线控制及微机监控几部分组成。天线采用２０ｍ卡塞格伦式天线,馈源为波纹喇叭,多模单脉冲自跟踪方案;利用轴角编码器构成伺服位置环;由三相可控硅功放及伺服直流电机驱动天线;双电机克服齿隙影响;天线具有多种工作方式,操控方便;监控微机对系统统一监控并完成故障实时在线检测功能。     

固体火箭发动机试验测量系统零位变化研究

介绍了测试系统推力测量中常见的零位变化现象,对零位变化的原理进行了分析,并提出了针对性的数据处理方法。     

一种用于热校准风洞的数据采集系统集成及软件设计

简要介绍了研华ＡＤＡＭ４０００系列模块的性能及其特点,并详细阐述了利用该系列模块组成一种用于热校准风洞的数据采集秕 及ＬＡＢＴＥＣＨＣＯＴＲＯＬ组态软件包在整个中的应用。     

高速率遥感卫星接收与处理系统的设计与实现

为成功接收搭载分米级分辨率的SAR（Synthetic Aperture Radar,合成孔径雷达）载荷低轨遥感卫星数据,验证卫星载荷工作状态和性能,本项目研发一套Ka/S双频段遥感卫星接收与处理机动站。针对窄波束高动态卫星跟踪、多通道高速率遥感数据星地传输的重难点,本文着重从窄波束高动态目标卫星跟踪、超高速高性能全数字解调以及高精度双模式自适应盲均衡等关键技术进行研究。通过试验验证技术路径正确、措施有效,可为后续相关系统研制提供技术参考。     

ATM performance measurement in Europe,the US and China

Air traffic management (ATM) performance and the metrics used in its assessment are investigated for the first time across the three largest ATM world regions: Europe, the US and China. The market structure and flow management practices of each region are presented. A wide range of performance data across these three regions is synthesised. For topological and performance assessment, the notion of a 'sufficient' sample is often non-intuitive: many metrics may behave non-monotonically as a function of sampling fraction. Missing and under-developed metrics are identified, and the need for a balance between standardisation and flexibility is proposed. Longitudinal and cross-sectional metric trade-offs are identified.     

导航辅助下基于LAS码的天基多目标测控

中继卫星的天基测控是解决中低轨道航天器大范围、长时间、多目标测控的有效途径,但用户星到中继卫星的时延误差、多普勒频移校正误差等参数会对多目标测控带来干扰。针对该问题,首先分析了定位误差引起的时延误差、多普勒频移校正误差等因素,设计了天基多目标前向链路遥控SMA(S-band Multiple Access,S频段多址)信号形式和反向遥测链路SMA信号形式,选择与时延校正误差相匹配的LAS(Large Area Synchronous,大区域同步)码作为反向遥测信息的扩频码,建立了导航辅助的终端时延和频率预校正方案模型,可以有效消除多用户干扰。仿真表明,当Eb/N0≥10.5dB时,前向遥控信息误码率pe≤1×10~(-6),反向遥测信息误码率pe≤1×10~(-6),使用LAS码比Gold序列约有2dB性能改善,为基于我国天链卫星的中低轨道卫星稳定运行、载人航天交会对接以及后续空间站建设等任务的测控提供重要参考。     

光学模数转换技术在电子对抗中的应用研究

当前,传统的电学模数转换在电子对抗中面临瓶颈,光学模数转换是解决该问题的有效途径。对传统电学模数转换技术的局限性进行了分析,指出了光学模数转换的优势,并对两种代表性的光学模数转换技术进行了仿真分析。仿真结果表明,光学模数转换技术在电子对抗应用中具有可行性,应用前景广泛。     

BPSK调制器发射时延的一种高精度标定方法

在高精度卫星测控、导航定位等领域,系统设备的绝对时延是影响精度的主要因素之一。示波器方案是目前能够测量BPSK调制器调制信号输入端到射频信号输出端的时延的唯一方法。文章提出采用宽带数字存储示波器结合包络检测信号处理技术,以提高调制器时延测量的精度,标准不确定度可优于50ps,避免了手工测试的主观不确定性。该方法也可推广用于变频器时延的精确测量。     

超高分辨率相机成像检测系统的设计与实现

讨论了超高分辨率相机成像检测系统的设计;分析了系统的设计目标;设计了系统的架构;给出了系统实现的技术指标。     

A combined technique of Kalman filter,artificial neural network and fuzzy logic for gas turbines and signal fault isolation

The target of this paper is the performance-based diagnostics of a gas turbine for the automated early detection of components malfunctions. The paper proposes a new combination of multiple methodologies for the performance-based diagnostics of single and multiple failures on a two-spool engine. The aim of this technique is to combine the strength of each methodology and provide a high success rate for single and multiple failures with the presence of measurement malfunctions. A combination of KF (Kalman Filter), ANN (Artificial Neural Network) and FL (Fuzzy Logic) is used in this research in order to improve the success rate, to increase the flexibility and the number of failures detected and to combine the strength of multiple methods to have a more robust solution. The Kalman filter has in his strength the measurement noise treatment, the artificial neural network the simulation and prediction of reference and deteriorated performance profile and the fuzzy logic the categorization flexibility, which is used to quantify and classify the failures. In the area of GT (Gas Turbine) diagnostics, the multiple failures in combination with measurement issues and the utilization of multiple methods for a 2-spool industrial gas turbine engine has not been investigated extensively.This paper reports the key contribution of each component of the methodology and brief the results in the quantification and classification success rate. The methodology is tested for constant deterioration and increasing noise and for random deterioration. For the random deterioration and nominal noise of 0.4%, in particular, the quantification success rate is above 92.0%, while the classification success rate is above 95.1%. Moreover, the speed of the data processing (1.7 s/sample) proves the suitability of this methodology for online diagnostics.