嫦娥五号探测器系统级电性能测试设计与实践

针对嫦娥五号探测器综合测试中遍历在轨飞行状态引发的全面覆盖难度大,任务剖面及关键环节多引发的模拟飞行及健壮性测试要求高等问题,提出并实践了状态遍历及增量式集成的系统级测试方法,测试设计按照分状态分阶段分剖面的多层次验证策略,探索出了一套从"最基本启动,增量式叠加,分步骤集成"的整体性测试与验证的解决方案,达到了在项目早期将系统验证工作置于真实环境下开展测试评估的效果。同时也解构了探测器组成复杂,器间交互多,器内耦合多的系统级全覆盖难题。引入非侵入式监测技术解决了特定任务剖面及系统级条件下关键动作高保真数据获取的难题。与阿波罗载人登月相比,嫦娥五号探测器系统级测试设计实现了测试与评估可靠性活动在整器研制环节的流程左移,体现了中国航天器研制技术的特点。     

自动测试技术在备件研制中的应用

主要阐述了自动测斌技术住数字电路板备件研制方面的应用。通过对某型引俄设备数字电路板研制的验证事例，探索了ATE和LASAR仿真软件用于备件电路板研制与测试验证的方法。结合装备实验，证明了将仿真技术作为高效的电路设计验证手段，并将ATE作为通用测试验证平台的可行性和先进性。     

Statistical comparison of night-time NO2 observations in 2003–2006 from GOMOS and MIPAS instruments

GOMOS (Global Ozone Monitoring by Occultation of Stars) and MIPAS (Michelson Interferometer for Passive Atmospheric Sounding) are remote sensing instruments on board the European Space Agency’s Envisat satellite. GOMOS and MIPAS have been designed for observations of stratospheric and mesospheric constituents, including ozone and nitrogen dioxide. Both instruments have a good global coverage of observations and can provide data also from the polar regions. In this paper, we compare night-time NO₂ data from GOMOS with those from MIPAS. We present statistics of selected sets of data spanning from the year 2003 to 2006. The results for low-to-mid latitudes show that the two instruments are in a good agreement in the middle stratosphere, the differences being typically less than 5%. In the upper stratosphere, GOMOS observations generally show 15% higher values than those from MIPAS. The bias is in virtually all cases smaller than the combined systematic error of the measurements, giving great confidence in the GOMOS and MIPAS data quality. The result for high mesospheric NO₂ mixing ratios observed in the polar regions during winter times indicate a good agreement between GOMOS and MIPAS. In the mesosphere, the difference is less than 35% and smaller than the systematic error. Due to the high mesospheric signal, MIPAS sensitivity decreases in the stratosphere which results in larger differences between the two instruments.     

Ground validation of space-borne satellite rainfall products in Malaysia

Precipitation studies globally is not only important to hydrological cycling, but also very crucial to satellite and terrestrial communication system designs. This work presents the validation of ground based rainfall measurement with TRMM products and GPCC data. The result shows that an error bias of ±15 % exists between the ground and satellite rainfall measurements. The study also shows that the TRMM 3B43 V6 is in good agreement with the rain gauge rainfall measurement with highest and lowest correlation coefficient of 0.9721 and 0.7791 respectively. Therefore, TRMM 3B43 V6 is recommended for use in lieu of the ground measurement in Malaysia and its environs, most importantly for sea and remote areas where rain gauge cannot cover.     

Radar maneuvering target tracking algorithm based on human cognition mechanism

Radar Maneuvering Targets Tracking(RMTT) in clutter is a quite challenging issue due to the errors in the models and the varying dynamics of the processes. Modern radar tracking system calls for the adaptive signal and data processing algorithm urgently to adapt the uncertainty of the environment. The mechanism of human cognition can help persons cope with the similar diffi-culties in visual tracking. Inspired by human cognition mechanism, a comprehensive method for RMTT is proposed. In the method, the model transition probability in Interacting Multiple Model(IMM) and the validation gate can be adjusted dynamically with target maneuver; the waveform in radar transmitter can vary with the perception of the environment. Experimental results in cluttered scenes show that the proposed algorithm is more accurate for perceiving the environment and targets, and the waveform selection algorithm is better than that with fixed waveform.     

Comparison of RO tropopause height based on different tropopause determination methods

The tropopause is an important boundary in the Earth’s atmosphere, and has been the subject of close attention from atmosphere and climate researchers. To monitor the global tropopause using radio occultation (RO) data, there are two primary methods, one is the widely used temperature lapse rate method, and the other is the bending angle covariance transform method which is unique to RO data. We use FengYun3-C (FY3C) and Meteorological Operational Satellite Program (MetOp) RO data and European Centre for Medium-Range Weather Forecasts (ECMWF) operational analysis data to determine differences in RO tropopause height calculated by these two methods. We compute biases of the RO lapse rate tropopause height (LRTH) and the RO bending angle tropopause height (BATH) relative to the ECMWF LRTH. The dependences of the tropopause height biases on tropopause height (TPH) retrieval method, latitude, season and RO mission are investigated. The results indicate that BATH show a consistent 0.8–1.2 km positive bias over the tropics and high latitude regions compared with LRTH, however, over 25° to 40° latitude in both hemisphere, BATH results are less stable. Furthermore, the mean bias between BATH and LRTH displayed a different symmetrical characteristic from 2017.12 to 2018.2 (DJF) compared to 2018.6–2018.8 (JJA). However, except for some bias over Antarctica, the mean value of both LRTH and BATH show a similar tropopause variation, indicating the consistency of both methods.     

基于UML的任务空间概念模型动态行为验证研究

动态行为的验证已经成为任务空间概念模型校验的重点和难点,而统一建模语言(Unified Modeling Language,UML)是半形式化的语言,难以进行动态行为的分析和验证,采用Petri网进行概念模型形式化验证是理论和方法研究的重要方向.论文提出了基于CPN的动态行为验证过程,论述了动态行为验证的主要内容,并应用CPN Tools对反导作战概念模型进行了动态行为验证,仿真结果表明概念模型是正确的.该方法可以提高模型校验的自动化水平,从而提高校验的效率和校验结果的可信性.     

面向对象软件在工具辅助下确认测试的方法与实践

以某一型号综合测试管理软件的确认测试为例 ,阐述了在TESTBED软件测试工具辅助下 ,对面向对象的软件进行确认测试的实践活动     

基于回归模型的液体火箭发动机试验数据的验证与重构

由于传感器设计、制造水平和工作环境等原因,传感器工作异常、出现故障或失效现象时有发生,影响了试验的完成和试验数据的使用。在研究液体火箭发动机地面试验各测点参数相关性的基础上,建立了传感器验证网络,利用测点参数间的线性回归模型对传感器数据进行验证和重构。经过实例验证表明,利用线性回归模型建立传感器验证网络,验证与重构发动机试验数据是可行的、有效的。     

小波分析在外测数据滤波中的应用研究

为提高弹道估计精度,提出了一种基于小波分析的滤波方法,滤除外测数据中AR（自回归）模型的随机误差。分析讨论了滤波过程中的几个关键问题,提出了利用基于偏自相关系数截尾检验的方法来确定分解层数,然后采用GCV（广义交叉确认）准则来确定均方差意义下最优阈值的方法。本文提出的外测数据滤波方法计算简单,不需要估计噪声的方差。仿真结果表明,该方法能有效滤除外测数据中的AR噪声。