ID | 原文 | 译文 |
10884 | 研究了基于随机信标的水下同时制图定位(simultaneous localization and mapping,SLAM)导航定位方法。 | Is studied based on random beacon and mapping underwater positioning (simultaneous localization and mapping, SLAM) navigation and positioning method. |
10885 | 信标导航是目前导航领域的研究热点,但往往需要提前对信标位置进行标定。 | Beacon navigation is the hotspot research in the field of navigation, but often need to calibration beacon location in advance. |
10886 | 对此文中提出一种无需位置标定的随机信标导航方法,即在信标随机散布的情况下,通过量测信标和航行器间的距离和方位,用SLAM方法对随机信标位置进行估计。 | This paper puts forward a random without position calibration beacon navigation method, namely under the condition of the beacon random distribution, through the measurement range and the distance between aircraft and orientation, using SLAM method of random beacon position estimate. |
10887 | 从而实现对航行器的导航,并在不同的信标密度和观测误差下分析了其导航精度。 | So as to realize the navigation of aircraft, and under the different density of beacon and observation error analyses the navigation accuracy. |
10888 | 仿真结果表明,该导航方法具有良好的收敛性和定位精度。 | The simulation results show that the navigation method has good convergence and positioning accuracy. |
10889 | 空间目标监视是航天任务得以顺利开展的重要基础。 | Space target surveillance is the important foundation of space missions could be carried out smoothly. |
10890 | 针对空间目标地基监视中的大规模复杂调度问题,建立了包含多种约束条件和优化目标的调度问题数学模型。 | The foundation for a space target surveillance of large-scale complex scheduling problems, established the contains a variety of constraints and optimization mathematics model of scheduling problem. |
10891 | 探讨了利用遗传算法对全局解的一部分进行局部优化以提高资源利用率的算法混合策略,构建了遗传-模拟退火算法。 | Discusses the use of genetic algorithm on the part of the global solution for local optimization mixed strategy to improve the utilization ratio of resources algorithm, genetic and simulated annealing algorithm is constructed. |
10892 | 其中对模糊需求使用了启发式方法以构造可行解的局部,并采用窗口修剪法进行冲突处理。 | Including the fuzzy demand using a heuristic method to construct the feasible solution of local, and window cutting method is adopted to improve the conflict. |
10893 | 仿真结果表明,遗传-模拟退火算法与窗口修剪法结合能够在可接受的时间内求得满意的解,验证了模型和算法的有效性。 | Simulation results show that genetic and simulated annealing algorithm is combined with window trim method can get satisfactory solution in an acceptable time, verify the validity of the model and algorithm. |