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航天器轨道精确测定重要环节之一是有效地消除观测系统误差,在轨道测量数据处理时,一类是利用轨道约束自校准技术来估算和校准系统误差,另一类可以应用测元差分方法来消除系统误差(例如导航卫星测定目标)。本文提出一种新的差分技术,即利用观测数据时序差分消除系统误差技术,并推导相应确定航天器轨道的公式。  相似文献   
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详细介绍了以信号描述为核心的新一代测试语言ATLAS2K的特点及层模型,并提出了ATLAS2K在自动测试设备ATE中的应用。  相似文献   
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为提高民用直升机的利用率和经济性,可编制主最低设备清单(MMEL).根据AC313型机MMEL项目的经验,总结出民用直升机MMEL的确定逻辑决断程序,并探讨MMEL在军用直升机上的应用前景.  相似文献   
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Abstract Microbialites are biologically mediated carbonate deposits found in diverse environments worldwide. To explore the organisms and processes involved in microbialite formation, this study integrated genomic, lipid, and both organic and inorganic stable isotopic analyses to examine five discrete depth horizons spanning the surface 25?mm of a modern freshwater microbialite from Cuatro Ciénegas, Mexico. Distinct bacterial communities and geochemical signatures were observed in each microbialite layer. Photoautotrophic organisms accounted for approximately 65% of the sequences in the surface community and produced biomass with distinctive lipid biomarker and isotopic (δ(13)C) signatures. This photoautotrophic biomass was efficiently degraded in the deeper layers by heterotrophic organisms, primarily sulfate-reducing proteobacteria. Two spatially distinct zones of carbonate precipitation were observed within the microbialite, with the first zone corresponding to the phototroph-dominated portion of the microbialite and the second zone associated with the presence of sulfate-reducing heterotrophs. The coupling of photoautotrophic production, heterotrophic decomposition, and remineralization of organic matter led to the incorporation of a characteristic biogenic signature into the inorganic CaCO(3) matrix. Overall, spatially resolved multidisciplinary analyses of the microbialite enabled correlations to be made between the distribution of specific organisms, precipitation of carbonate, and preservation of unique lipid and isotopic geochemical signatures. These findings are critical for understanding the formation of modern microbialites and have implications for the interpretation of ancient microbialite records. Key Words: Microbial ecology-Microbe-mineral interactions-Microbial mats-Stromatolites-Genomics. Astrobiology 12, 685-698.  相似文献   
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为克服某型伺服转台在摩擦力矩干扰下引起的低速“爬行”问题,设计了基于模型参考模糊自适应的摩擦补偿控制方法;并基于所建立的数学模型对该摩擦补偿方法进行了lyapunov稳定性证明,采用Matlab进行了仿真试验分析。仿真结果表明,该摩擦补偿方法能够有效抑制摩擦干扰的不利影响,提升了转台低速跟踪的平稳性,从而显著提高了转台的低速伺服精度。  相似文献   
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