ID 原文 译文
55577 对于临近空间超声速机动目标一般采用多种机动模型跟踪,单一模型已经很难满足高精度跟踪的需要。 For near space hypersonic tracking maneuvering target generally use a variety of motor model, a single model has been difficult to meet the needs of high precision tracking.
55578 因此需要使用基于多种模型进行交叉耦合的交互式多模型(interacting multiple model,IMM)算法,这种算法特点与临近空间目标高速、高机动特性相适应。 So you need to use the cross coupling interactive multiple model based on multiple model (interacting multiple model, the IMM) algorithm, this algorithm features and near space target corresponds to a high speed and high mobility characteristics.
55579 同时考虑到扩展卡尔曼滤波(extended Kalman filter,EKF)算法对强非线性对象滤波效果不好,无迹卡尔曼滤波(unscented Kalman filter,UKF)算法对于此类问题,可以很好地加以解决。 At the same time considering the extended Kalman filtering (extended Kalman filter and EKF) algorithm for object strongly nonlinear filtering result is bad, no trace of Kalman filtering (unscented Kalman filter, UKF) algorithm for such problems, is a good way to solve them.
55580 仿真对比试验表明,交互式多模型-无迹卡尔曼滤波(interacting multiple model-unscented Kalman filter,IMM-UKF)算法优于单一模型EKF算法。 Simulation experiment shows that the interactive multiple model - no trace Kalman filtering (interacting multiple model - unscented Kalman filter, IMM - UKF) algorithm is better than a single model of EKF algorithm.
55581 网络中心战中,面向信息优势对战略预警信息系统(strategy early-warning information system,SEWIS)进行效能评估非常重要。 In the network centric warfare, oriented information advantage to strategic early warning information system (strategy early - warning information system, SEWIS) for effectiveness evaluation is very important.
55582 以美军SEWIS为例,详细分析了信息优势在该类系统中的具体内容和体现,建立了系统效能评估指标体系,引入云理论对SEWIS效能评估中的定性定量指标进行联合处理,最终形成基于云重心评判法的SEWIS效能评估方法,为战略预警系统优化升级提供支撑。 American SEWIS, for example, analyzes the information superiority in the concrete content and the embodiment of the class system, and system effectiveness evaluation index system is established, the cloud theory is introduced to SEWIS qualitative quantitative indicators of effectiveness evaluation for joint processing, eventually forming SEWIS effectiveness evaluation method based on cloud barycenter judgement method, provide support for strategic early warning system for optimization.
55583 仿真结果表明了该评估方法的可行性和有效性。 Simulation results show the feasibility and effectiveness of the assessment method.
55584 针对多作战智能体编组协同作战中任务分配的动态优化问题,提出一种基于滚动时域策略的多编组任务分配动态优化方法。 For combat task allocation in intelligent body grouped together more dynamic optimization problem, put forward a more marshalling task allocation based on the strategy of rolling time domain dynamic optimization method.
55585 以任务执行效率为目标函数,建立了满足个体任务时窗和编组资源损耗约束的问题模型。 In task execution efficiency as objective function, set up to meet the individual task time window and marshalling resources loss constraint model.
55586 给出与突发事件特征对应的预测窗口、滚动窗口和滚动驱动机制。 , and incident characteristics corresponding prediction window, rolling window and scroll driving mechanism.