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针对天基空间目标光学监测时初轨确定(IOD)困难的问题,讨论了计算结果收敛到平凡解的本因,提出了消去平凡解的改进定轨流程。通过构建Laplace初轨确定方法的八次方程,分析了空间目标处于不同相对位置时方程系数和根的性质之间的关系。针对传统Laplace型初轨确定方法收敛到观测平台轨道的现象,给出了平凡解的数学表征和数值验证并提出了消除方法。由于基于Lambert问题利用距离搜索的初轨确定方法进行天基目标监测时对初值相对敏感,利用平凡解消除方法对Gooding法进行了改造,提出了一种适用于天基空间目标初轨确定的方法与流程。最后利用低轨目标监测的实测数据和高轨目标监测的仿真数据对方法进行了验证。结果表明本方法可有效解决平凡解和初值敏感问题,方法具有收敛速度快、精度可靠的特点,且具有普适性,易于理解,便于推广。 相似文献
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在空间目标碰撞预警分析中,准确地计算出空间目标的轨道面交线是进行地心距筛选、时间差筛选的前提,目前较多使用的快速确定轨道面交线的方法为简单二体引力模型。深入分析该模型,比较了其计算的空间目标轨道面交线与STK计算结果的差异,指出了简单二体引力模型在计算空间目标轨道面交线时的局限性,认为轨道摄动是影响轨道面交线计算准确性的主要原因,应该采用更能反映空间目标实际运动规律的改进的二体引力模型的方法。 相似文献
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针对空间目标光电跟踪调度问题,根据不同轨道空间目标的运动特征,着重考虑对编目定轨影响最大的轨道弧长,基于线性规划模型,分别提出了适合低轨道和中高轨道空间目标跟踪调度优化数学模型。仿真计算表明,模型在消除弧段冲突、充分利用观测时间的基础上实现了最优轨道弧长的观测策略,计算量适当,能够满足实践应用的需求。实测试验表明调度策略有效可行,能够提高50%的有效观测时间。 相似文献
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空间目标地基光电探测与识别技术是空间态势感知的主要技术手段之一。首先归纳了空间目标的典型光学特征,分析了用于轨道与光学特征探测与识别的两类光电望远镜特点,梳理了国外空间目标光电探测与识别技术的发展历程,简要总结了空间目标地基光电探测与识别技术和应用需求间的主要问题,展望了空间目标光电探测与识别技术的未来发展方向。 相似文献
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空间目标探测是获取空间信息,维护国家空间安全的前提和必要条件,当前空间安全面临威胁的紧迫形势,对于我国的空间目标探测提出了更高的要求,有必要对更大范围轨道空间以及尺寸更小的空间目标进行更精确的探测、识别和状态确认。通过对空间目标探测的需求以及Ku频段远程探测雷达特点的分析,参考美国用于空间目标探测雷达的特点及应用,提出了发展我国Ku频段远程探测雷达用于空间目标探测的建议。 相似文献
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介绍了空间飞行器综合定轨与参数分析软件COMPASS的开发过程。软件的初级阶段目标是可以利用SLR观测对多颗激光卫星进行同时定轨、可以利用非差GPS观测对GPS星座进行同时定轨,并估计有意叉的地学参数。COMPASS的开发采取了由简到繁、循序渐进的技术策略,软件开发经历了这样几个主要过程:多星多技术定轨框架的建立。利用SLR观测确定GPS卫星的轨道,利用IGS的SP3轨道确定GPS星座的轨道,利用非差GPS伪距观测确定GPS星座的轨道,利用非差GPS伪距和相位观测确定GPS星座的轨道。激光卫星的定轨精度已经达到国际水平,可以用于提供国际服务(如IERSEOP;ILRS快速分析);GPS定轨内符精度达到国际先进水平,平均外符精度好于30cm。 相似文献
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空间目标编目维持中的观测需求确定方法研究 总被引:1,自引:1,他引:0
针对空间目标探测中观测计划制定业务面临的目标观测需求确定问题,首先分析影响目标观测需求确定的因素,据此进行精度指标确定分析,然后结合一类目标,在进行“圈/站/天”组合精度分析的基础上,提出动态观测需求确定方法,并阐述其运行机制。 相似文献
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随着空间目标与碎片数量的激增,传统的基于目标跟踪的空间目标光电监视手段已不能满足需求,近年出现了面向空域的空间目标巡天观测。针对空间目标巡天观测的特点,同时考虑空间目标观测的目标个数和数据量,提出了一种空间目标巡天观测策略,并建立了相应的空间目标光电巡天优化数学模型。模型中通过0-1变量的使用,实现了目标函数和约束条件的线性化,十分有利于大规模问题的求解,能够更好地满足实际需求。仿真计算表明:策略简单,易于实现,并且有很好的效果;通过优化,只需要少量望远镜即能实现大批量空间目标的监视,并保持一定的观测数据量,为空间目标光电监视策略提供了新的思路。 相似文献
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The objective of this paper is to present the experience of EADS in using a common test support system for integration and qualification testing, aircraft ground equipment (AGE), in-service software maintenance facilities (ISMF) and ground crew training. EADS uses its test support system AIDASS (Advanced Integrated Data Acquisition and Stimulation System) in different phases of the aircraft life cycle. AIDASS is comprised of a real-time front-end system and a standard PC for the user interface. The EADS test support system is used in almost all phases of the aircraft life cycle, for instance, for integration and verification testing, as aircraft ground equipment, for in-service software maintenance and training of ground crews. This test support system is used for the software maintenance in the TORNADO program at different airforces in Europe. The airforces also share test setups with industry 相似文献
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Embedded built-in test (BIT) software typically provides a system-level go/no-go indication and, in the presence of a failure, may provide some level of sub-system isolation. This level of reporting, while meeting the customer's operational requirements, does little to support system integration, production, and repair. To support these other needs, "instrumentation code" is added to the BIT software to provide detailed test data through an external interface. Since the BIT software already accesses the hardware parameters for testing, it becomes the most logical component for the instrumentation. This paper describes the techniques of embedding instrumentation during BIT design and development to support a broad range of program test needs. It explains the costs and benefits associated with the use of instrumentation. It gives specific examples of instrumented software and describes how instrumentation data can be used during environmental tests, factory test, and depot test. The impact instrumentation has on software development time, code size, execution time, and reliability is discussed as well as the cost of retrofitting BIT software to add instrumentation. Some of the benefits as well as the challenges to developing effective embedded instrumentation is also examined. 相似文献
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New software technologies, such as VISA and IVI, continue to bring the industry toward greater standardization. The benefit to the integrator is reduced costs through reuse of the same hardware and software. The benefit to the customer end-user is lower costs by reducing modification and support through the life-cycle to the test station. However, while we position ourselves for the future with PXI and these software technologies, we must still provide support for VXI, GPIB, and instrument drivers that use current software technologies. Using a number of additional tools such as National Instrument's Measurement and Automation Explorer and Geotest's ATEasy, we can have the power of these tools today while waiting for wider acceptance and support of the newer VISA and IVI technologies. We are just now seeing the development of IVI drivers and the ink is still wet on the VISA specification for PXI. ATEasy provided the structure necessary to use these technologies with the current technology. This paper explores the process of implementing and integrating the system driver and instrument drivers for a PXI-based test station for the TOW2 optical sight sensor. 相似文献
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There are many sophisticated models and methods for estimating the size, cost, and schedule of software projects. However, the ability to accurately estimate software cost, size, or schedule is still dubious. In general, the predictive accuracy of models for estimating software development cost and schedule has not been shown to be better than “within 25 percent of actual cost or schedule, about one half of the time”, especially for Department of Defense software efforts. The same is true for software size estimating models and methods, although there are some studies that have shown superior results. For software support (or maintenance) cost estimation, no model has been demonstrated to be accurate. This paper presents a summary of efforts performed to date which demonstrate the accuracy (or lack thereof) of software models. The results of several studies in the areas of software development cost and schedule estimation, size estimation, and support cost estimation are presented to show what these models can and cannot do. Some ideas for improvement are also presented, including the results of some studies which may lead to a resolution of the accuracy conundrum which currently exists 相似文献
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软件复用被视为提高软件开发效率和产品质量的有效途径。研究和实践表明,针对特定领域的软件复用容易取得成功。本文给出了一个基于UML2.0和体系结构视图、针对航天中心软件特点的领域工程建模方法,具体分析和设计了相应的一系列领域工程模型,它们可以成为航天中心软件复用的“核心资产”,为未来的各个应用系统开发提供有力支持。 相似文献
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