ID 原文 译文
49347 构建了光滑函数解决系统校正行为导致的函数不连续性问题， build a smooth function behavior caused by system calibration function discontinuity problems,
49348 在此基础上根据首次到达时的概率分布提出了多阶段可校正系统的可靠性评估方法， first arrived on this basis, according to the probability distribution of multi-stage adjustable system was put forward method of reliability assessment,
49349 给出相关数值算例， related numerical example is given,
49350 验证了模型、方法和分析结果的正确性和实用性。 and verified the model, the validity and the practicability of the method and the analysis results.
49351 针对无人机(unmanned aerial vehicle，UAV)数据链在地理环境、气象环境、电磁环境等构成的复杂环境中受干扰程度提出一种结合支持向量机(support vector machine，SVM)与功率准则的预测评估方法。 For UAV (unmanned aerial vehicle, UAV) data link in geographical environment and meteorological environment, complex environments, such as electromagnetic environment interference degree in this paper, a combination of support vector machine (support vector machine, SVM) and the prediction of power standards assessment method.
49352 首先对系统误码率以及干扰传播模型进行仿真， First of all on the system bit error rate and signal propagation model for simulation,
49353 并针对两个单音干扰存在的情况获得仿真数据、划分干扰等级，得到学习样本; and aiming at the existing situation of two single tone jamming simulation data, divided into interference level, by learning samples;
49354 嫦娥五号飞行试验器搭载星载多模接收机，验证星载接收机接收导航星旁瓣信号的能力， Chang e v flight tester carrying spaceborne multimode receiver, validation of spaceborne receiver for navigation star sidelobe reception ability,
49355 首次实现了利用旁瓣信号对大椭圆轨道航天器的导航定位。 for the first time using sidelobe signal of large elliptical orbit spacecraft navigation and positioning.
49356 应用该模型并结合具体地理环境对实际场景进行干扰程度预测，结果与理论值相符，证明了方法的可行性和有效性; Application of the model and combined with the specific geographical environment disturbance degree projections for the actual scene, the result is consistent with the theoretical value, proved the feasibility and effectiveness of the method.