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141.
CCSDS(空间数据系统咨询委员会)建议有利于增强测控系统互联互通互支持能力,满足未来航天任务对空间信息高速传输及灵活高效信息调度机制的要求,应当作为我国构建天地一体化信息网络的首选标准。提出了加强顶层设计、循序渐进地推进CCSDS建议在我国实现工程化应用的总体思路,并提出在应用过程中应当注重创新任务操作模式、关注信息安全、深化关键技术研究与验证。 相似文献
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143.
测量船船摇前馈数据处理方法研究及应用 总被引:1,自引:0,他引:1
船摇前馈是航天测量船稳定性设计方法之一。实践证明,船摇前馈对改善系统误差有益,目标速度前馈特别是加速度前馈的改善效果要比船摇前馈的好。分析原因,一方面是目标相对船摇来说变化慢,低频分量多,滤波后能够比较准确地得到所要的值,前馈精度也就高;另一方面是船摇前馈值特别是加速度前馈比较难以准确获得。因此,准确地计算前馈量,是补偿测量设备伺服系统滞后造成的误差,达到高精度地跟踪目标的关键之一。本文详细给出了船摇前馈量的具体计算公式,并在卫星发射任务中进行了应用和验证。 相似文献
144.
In aerodynamic optimization, global optimization methods such as genetic algorithms are preferred in many cases because of their advantage on reaching global optimum. However, for complex problems in which large number of design variables are needed, the computational cost becomes prohibitive, and thus original global optimization strategies are required. To address this need, data dimensionality reduction method is combined with global optimization methods, thus forming a new global optimization system, aiming to improve the efficiency of conventional global optimization. The new optimization system involves applying Proper Orthogonal Decomposition (POD) in dimensionality reduction of design space while maintaining the generality of original design space. Besides, an acceleration approach for samples calculation in surrogate modeling is applied to reduce the computational time while providing sufficient accuracy. The optimizations of a transonic airfoil RAE2822 and the transonic wing ONERA M6 are performed to demonstrate the effectiveness of the proposed new optimization system. In both cases, we manage to reduce the number of design variables from 20 to 10 and from 42 to 20 respectively. The new design optimization system converges faster and it takes 1/3 of the total time of traditional optimization to converge to a better design, thus significantly reducing the overall optimization time and improving the efficiency of conventional global design optimization method. 相似文献
145.
V. Génot C. Jacquey M. Bouchemit M. Gangloff A. Fedorov B. Lavraud N. André L. Broussillou C. Harvey E. Pallier E. Penou E. Budnik R. Hitier B. Cecconi F. Dériot D. Heulet J.-L. Pinçon 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2010
AMDA (Automated Multi-Dataset Analysis), a new data analysis service, recently opened at the French Plasma Physics Data Center (CDPP). AMDA is developed according to the Virtual Observatory paradigm: it is a web-based facility for on-line analyses of space physics. Data may come from its own local database as well as remote ones. This tool allows the user to perform classical manipulations such as data visualization, parameter computation and data extraction. AMDA also offers innovative functionalities such as event searches on the content of the data in either visual or automated ways, generation, use and management of time tables (event lists). The general functionalities of AMDA are presented in the context of Space Weather with example scientific use cases. 相似文献
146.
本文在分析了分布式应用系统体系结构发展变化的基础上.阐述了中间件的概念、功能和在可重用、多异构数据源应用系统的作用,对ODBC、BDE/IDAPIT、0LEDB/ADO和JDBC等分布式数据库中间件;CGI、lSAPI/NSAPI、ASP、JSP等中间件进行了分析比较,并给出了中间件技术在教务管理信息系统的应用实例。 相似文献
147.
148.
基于盲源分离的雷达信号欺骗干扰抑制 总被引:3,自引:0,他引:3
针对脉冲压缩信号的频谱弥散(SMSP)干扰,通过分析其时频特性,提出了一种基于盲分离的抑制算法。首先,推导了基于独立分量分析的代价函数,由于代价函数中信号概率密度函数不能精确估计,利用信号高阶互累积量的性质,重新构造了一种新的代价函数;其次,利用基于自然梯度的方法对新代价函数进行优化,从而得到基于峭度的盲分离算法;最后,通过仿真证明,对比Fast ICA算法,文中算法具有更快的收敛速度和更好的分离性能,在保证分离精度的前提下,可成功将目标回波信号分离,达到SMSP干扰抑制的目的。 相似文献
149.
利用脉冲星估计星载原子钟钟差是实现卫星自主守时的途径之一。为充分分析基于脉冲星的自主守时系统性能,利用实测的星载原子钟钟差数据和中子星内部组成探测器(neutron star interior composition explorer, NICER)的PSR B1937+21脉冲星的观测数据,对比分析了星载原子钟和脉冲星的误差特性。设计了脉冲星守时系统框架和星载原子钟钟差估计方法。以实测的星载原子钟钟差数据为基础,计算分析了脉冲星守时系统的性能。计算结果表明,若脉冲星的脉冲到达时间(time of arrival, TOA)解算精度为1 μs/30 d,则原子钟钟差估计精度可达到优于1 μs的水平,初步验证了脉冲星守时系统的可行性。 相似文献
150.
Multi-sensor image matching based on salient edges has broad prospect in applications, but it is difficult to extract salient edges of real multi-sensor images with noises fast and accurately by using common algorithms. According to the analysis of the features of salient edges, a novel salient edges detection algorithm and its rapid calculation are proposed based on possibility fuzzy C-means (PFCM) kernel clustering using two-dimensional vectors composed of the values of gray and texture. PFCM clustering can overcome the shortcomings that fuzzy C-means (FCM) cluster- ing is sensitive to noises and possibility C-means (PCM) clustering tends to find identical clusters. On this basis, a method is proposed to improve real-time performance by compressing data sets based on the idea of data reduction in the field of mathematical analysis. In addition, the idea that kernel-space is linearly separable is used to enhance robustness further. Experimental results show that this method extracts salient edges for real multi-sensor images with noises more accurately than the algorithm based on force fields and the FCM algorithm; and the proposed method is on average about 56 times faster than the PFCM algorithm in real time and has better robustness. 相似文献