基于MCP的无人机系统可靠性指标分析计算

为计算无人机系统的可靠性指标,论述了现代无人机系统的组成,利用可以收集到的国外无人机外场使用数据,结合无人机系统的不同工作模式,建立了系统的任务可靠性模型,以任务成功概率(MCP)计算为出发点,对无人机系统的平均致命性故障间隔时间(MTBCF)和平均无故障工作时间(MTBF)进行了初步分析计算.      

Improvement of the GRACE star camera data based on the revision of the combination method

The new release of the sensor and instrument data (Level-1B release 02) of the Gravity Recovery and Climate Experiment (GRACE) had a substantial impact on the improvement of the overall accuracy of the gravity field models. This has implied that improvements on the sensor data level can still significantly contribute to arriving closer to the GRACE baseline accuracy. The recent analysis of the GRACE star camera data (SCA1B RL02) revealed their unexpectedly higher noise. As the star camera (SCA) data are essential for the processing of the K-band ranging data and the accelerometer data, thorough investigation of the data set was needed. We fully reexamined the SCA data processing from Level-1A to Level-1B with focus on the combination method of the data delivered by the two SCA heads. In the first step, we produced and compared our own combined attitude solution by applying two different combination methods on the SCA Level-1A data. The first method introduces the information about the anisotropic accuracy of the star camera measurement in terms of a weighing matrix. This method was applied in the official processing as well. The alternative method merges only the well determined SCA boresight directions. This method was implemented on the GRACE SCA data for the first time. Both methods were expected to provide optimal solution characteristic by the full accuracy about all three axes, which was confirmed. In the second step, we analyzed the differences between the official SCA1B RL02 data generated by the Jet Propulsion Laboratory (JPL) and our solution. SCA1B RL02 contains systematically higher noise of about a factor 3–4. The data analysis revealed that the reason is the incorrect implementation of algorithms in the JPL processing routines. After correct implementation of the combination method, significant improvement within the whole spectrum was achieved. Based on these results, the official reprocessing of the SCA data is suggested, as the SCA attitude data are one of the key observations needed for the gravity field recovery.     

空间科学任务协同设计论证平台

空间科学任务协同设计论证存在设计方案耦合强,数据一致性差,数据变更难,数据与流程脱节等问题.为了解决上述问题,建立了典型空间科学任务的多层数字化模型;采用图形化方式对论证流程进行建模,并建立流程与数据的映射关系;通过共享数据池的方式为多岗位用户提供多方案数据协同机制;采用消息总线对数据变更进行及时提醒;利用方案依赖关系矩阵来判别方案耦合关系,最终自动合并任务总体设计方案.作为一个分布式平台,空间科学任务协同设计平台采用Eclipse RCP和Spring技术架构,整合了Hibernate、工作流Activiti5等中间件,提供统一门户,支持多岗位、多任务、多方案、多版本的管理能力,提供论证流程监控、数据协同交互等功能.结合某空间科学任务论证验证了该平台的有效性.      

量子科学实验卫星的多维数据立方体方法研究

科学实验卫星以科学目标为任务战略导向,需要任务团队结合实际业务运行情况制定阶段实验计划.这些实验计划以任务运行数据为依据,由科学卫星任务各分系统数据分析获得的策略集合综合得到.量子科学实验卫星在轨运行期间会产生大量运行数据,如何有效利用这些数据给不同决策层提供辅助是当前面临的一大难题.目前主流方式主要借助值班日志统计和常规的数据库系统数据统计,需耗费较多时间和人力成本,对分析人员专业技能要求较高,无法满足多角度和多粒度任务研判的要求,并且该方法可扩展性差,当问题的观察角度变化时,往往需要重新组织数据统计分析.针对上述问题,本文提出一种基于数据立方体的多维数据建模和分析方法,对于不同主题,能够对数据进行多层次、多角度、多粒度统计分析,为决策提供良好支持.     

遥感卫星多路数据传输系统同频共用方法

为节省频率资源,遥感卫星通常采用扩频体制实现多路数据的同频共用传输,针对通道间容易引起相互干扰的问题进行了研究,通过改进码分多址干扰估算模型,对采用平衡Gold码序列扩频系统抗干扰容限上界进行预测。在满足国际电信联盟（ITU）对卫星辐射功率通量密度约束条件下,提出了一种基于直接序列扩频体制的两路业务数据同频共用传输方法。仿真结果表明：当载波频率2GHz左右,两路辐射源的EIRP之差不大于8～15dBw时可以实现同频共用传输;如对信号扩频带宽进行差异化处理,则其相互兼容性还可进一步提高。