ID 原文 译文
5894 仿真实验表明,新系统无论针对常规运动目标还是突然机动目标都能保证又快又准的跟踪效果。 Simulation experiments show that the new system against the conventional moving targets or sudden maneuvering target can ensure quick and accurate tracking performance.
5895 研究了考虑航天器交会逼近轨迹安全的超快速逼近策略和轨道控制方法。 Studied considering rendezvous trajectory safe super quick approximation strategy and orbital control method.
5896 在超快速逼近方面,为了解决超快速逼近和轨迹被动安全的矛盾,提出瞄准偏置点概念。 In terms of ultra fast approaching, in order to solve the super fast approaching and trajectory, the contradiction of the passive safety is put forward aiming at the bias point concept.
5897 交会逼近时追踪航天器先以被动安全速度向瞄准偏置点快速逼近,再由瞄准偏置点向终端瞄准点逼近。 Tracking of the spacecraft rendezvous approached first aimed to offset point with passive safety speed fast approaching, again by targeting bias point terminal to the aiming point approximation.
5898 在轨道控制方面,将超快速逼近过程中分别设计解耦后三通道的模糊控制器,对轨道各方向进行独立控制。 In terms of orbit control, will be super fast approaching, respectively, in the process of design of three-channel after decoupling fuzzy controller, an independent control of track each direction.
5899 仿真结果表明,在保证交会逼近过程安全性和逼近终端精度的前提下,文中方法不仅可以适应初始速度较大约束,而且可将交会逼近时间减少为传统逼近方法的20%。 Simulation results show that in order to safeguard the safety and the SEC approximation process under the premise of approximation precision terminal, the method can not only adapt to the larger velocity constraint, and intersection approach time can be reduced to 20% of the traditional approximation method.
5900 针对现有的箱粒子概率假设密度(probability hypothesis density,PHD)群目标跟踪算法计算量大、在群数目较多时状态提取不稳定以及无法获得群的航迹等问题,提出标签箱粒子PHD群目标跟踪算法。 In view of the existing box particle probability hypothesis density (aim-listed probability content, density, PHD), a large group of target tracking algorithm computation in the number of long state extracting unstable and unable to get a group of track, the label box particle PHD group of target tracking algorithm is put forward.
5901 该算法首先对量测进行预处理,剔除其中的杂波量测,以降低量测更新的计算量。 Preprocessing, the algorithm firstly to measure to eliminate the noise measurement, in order to reduce the amount of calculation of measurement update.
5902 然后,通过为箱粒子添加标签,区分不同的群目标,获得不同群的航迹。 And then, by adding the label for the cases of particle, distinguish between different group of targets, obtain the track of different group.
5903 最后,依据不同标签提取群目标的状态,有效避免k-means聚类不稳定带来的影响。 Finally, on the basis of different labels to extract target group of states, effectively avoid the k means clustering - the effects of instability.