ID 原文 译文
48386 作为合成孔径雷达(synthetic aperture radar,SAR)的一种新体制,前视SAR能够克服侧视以及前斜视SAR在运动路线正前方存在盲区的问题,因此在地理遥感、地质勘探和战场侦察等领域均有着广泛的应用。 As SAR (synthetic aperture radar, SAR) of a new system, forward-looking side-looking SAR can be overcome and squint SAR has the problem of blind spot, right in front of the movement route so geographically remote sensing, geological exploration and battlefield reconnaissance, and other fields has been widely used.
48387 首先综述了前视SAR成像系统及其信号处理技术的应用领域、发展历程和研究进展,并对各种信号处理算法的性能进行了研究与阐述。 Firstly reviews the forward-looking SAR imaging system and the application field of signal processing technology, development and research progress of the performance of the various signal processing algorithms were studied with in this paper.
48388 随后,介绍了德国的阵列前视SAR系统——视景增强区域成像雷达(sector imaging radar for enhanced vision,SIREV),给出了其成像结果。 Then, the paper introduces the German array forward-looking SAR system, enhancing regional visual imaging radar (sector imaging radar for enhanced vision, SIREV), the imaging results are given.
48389 最后讨论了前视SAR成像技术的研究热点并对其发展趋势进行了展望。 Finally discussed the research focus in the forward-looking SAR imaging and its development trend is prospected.
48390 伪谱法在求解非光滑最优控制问题时往往需要在迭代计算过程中进行网格优化,以提高对非光滑问题的适应性。 Pseudo-spectral method in solving the optimal control problem of nonsmooth often need in the process of iterative calculation grid optimization, in order to improve the adaptability of nonsmooth problem.
48391 针对现有网格优化方法中分段点收敛至不光滑点速度较慢的问题,提出了分段点最佳化的思想,即将分段点作为设计变量,根据误差曲线确定最佳分段点可能存在的区间,由求解器确定最佳的分段点位置,从而提高分段点收敛至不光滑点的速度。 In view of the existing grid optimization method of piecewise points to smooth point slower convergence problem, puts forward the idea of piecewise points optimization, the subsection point as design variables, according to the error curve to determine the best segmentation points possible range, by the solver to determine the best segmentation point location, thus improve the subsection point the speed of convergence to a smooth point.
48392 算例表明,分段点最佳化的网格优化算法能较大程度地提高伪谱法对非光滑最优控制问题的求解效率。 Numerical examples show that the segmentation point of optimization of mesh optimization algorithm can greatly improve the pseudo-spectral method for nonsmooth efficiency of solving the optimal control problem.
48393 针对云计算的高能耗问题,从系统级节能角度,提出一种节能的资源调度算法。 In cloud computing problem of high energy consumption, from the perspective of system level and energy saving, puts forward a kind of energy resource scheduling algorithm.
48394 首先,建立云计算的两级资源调度模型;综合考虑主机的工作、空闲和休眠等多种状态建立能耗模型,并用多功能计量插座加以验证。 First of all, cloud computing of two levels of resource scheduling model is set up;Considering the host state of work, idle, and dormancy, and other building energy consumption model, verified and multi-function measurement socket.
48395 然后,提出基于遗传算法的最小能耗资源调度算法(minimum energy consumption based on genetic algorithm,MECGA),根据云任务的服务质量(quality of service,QoS)需求产生初始种群,以系统能耗最小为调度目标设计适应度函数,并根据染色体适应度的正态分布函数和种群的进化代数设计遗传算子。 Then, put forward the minimum cost of energy resource scheduling algorithm based on genetic algorithm (minimum energy consumption -based on based algorithm, MECGA), according to the cloud task quality of service (quality of service, QoS) needs to produce the initial population, fitness function with the aim to scheduling system energy consumption minimum design, according to the normal distribution of the chromosome fitness function and the design of the evolutionary population genetic operators.