ID 原文 译文
58798 针对非合作空间目标轨道状态的不确定性,提出一种基于动态贝叶斯网络的空间目标轨道状态动态推理方法。 Aiming at the uncertainty of the orbit status of non-cooperative space objects, a dynamic inference method for the orbit status of space objects based on dynamic Bayesian networks is proposed.
58799 首先建立了空间目标轨道状态语义模型,明确了轨道状态与轨道类型、轨道变化间的语义关系; First, the semantic model for the orbit status of space objects is established, and the semantic relationships such as the orbit status, orbit class and orbit change are explained.
58800 其次,分析了轨道状态的特性,构建了轨道变化中共面变轨和异面变轨的等级划分方法; Second, the orbit status characteristics are analyzed, and the hierarchical division method for coplanar and noncoplanar orbit change is constructed.
58801 然后,基于动态贝叶斯网络建立空间目标轨道状态推理模型,利用空间目标轨道类型、轨道变化和轨道状态之间的关系,推理轨道状态的动态变化过程; Then, based on the dynamic Bayesian network, an inference method for the orbit status of space objects is established, and the relationships between orbit status, orbit class, and orbit change are used to obtain the dynamic change process of the orbit status.
58802 最后,以不同轨道类型的空间目标为案例对提出的方法进行验证,并与实际情况进行对比。 Finally, the proposed method is validated by comparing with actual situations of space objects of different orbital classes.
58803 实验结果表明,这种空间目标轨道状态动态推理方法能够对具有不确定性的轨道状态进行推理,获取轨道状态的变化过程。构建的空间目标轨道状态动态推理方法能够为进一步的决策提供支持和辅助。 Experimental results demonstrate that the proposed dynamic inference method for the orbit status of space objects can inference the orbit status with uncertainty and obtain the change process, which provides support and assistance for further decision-making.
58804 为有效地分配和使用空闲频谱,提升认知无线传感器网络的频谱利用率,需要设计高效的频谱分配算法。 In order to effectively allocate the idle spectrum and improve spectrum utilization of cognitive wireless sensor networks, it is necessary to design an efficient spectrum allocation algorithm.
58805 针对认知无线传感器网络的频谱分配问题,提出了一种频谱分配的改进方法,设计了新的混沌动态克隆进化算法,建立了图论着色模型,推导了相应的适应度函数。 Aiming at the problem of spectrum allocation in cognitive wireless sensor networks, an improved method for spectrum allocation is suggested. A new chaotic dynamic clonal evolution algorithm is designed. Then the graph theory coloring model is established with the corresponding fitness function derived.
58806 设计了新的混沌算子、自适应算子和克隆算子以加快算法的收敛速度。 Traditional evolutionary algorithms have the problem of premature convergence, so chaotic operators, adaptive operators and cloning operators are added to the traditional evolutionary algorithms to accelerate the convergence of the algorithm.
58807 通过仿真, 将混沌动态克隆进化算法与模拟退火算法、蚁群算法进行对比。 The chaotic dynamic clonal evolutionary algorithm is compared with the simulated annealing algorithm and the ant colony algorithm by simulation.