ID 原文 译文
11894 且所设计的减速强机动可以进一步提升方位失准角的平滑精度。 And the strong reduction motor designed can further enhance the accuracy of the azimuth misalignment Angle smooth. ‭
11895 针对经典的中断航迹关联算法在机动目标环境下航迹预测准确性差、关联效果恶化严重的问题,提出基于先验信息的多假设运动模型中断航迹关联算法。 In view of the classic interrupt under the environment of maneuvering target track correlation algorithm prediction accuracy is poor, the effect of associated deterioration serious problem, put forward based on the assumption of more than a priori information movement model of interrupt correlation algorithm.
11896 所提算法充分利用目标属性、目标运动特征、使用场景等先验信息。 Proposed algorithm make full use of the properties of target, the target motion characteristics, usage scenarios.such as a priori information.
11897 基于多假设思想,建立多种可能的目标运动模型并实施航迹预测。 Based on many assumptions, a variety of possible target motion model is set up and implement track prediction.
11898 基于位置和速度信息的模糊相关函数描述预测航迹与新起始航迹的模糊匹配关系。 Based on the fuzzy correlation function of position and speed information description forecast track with the new initial fuzzy matching relation of track.
11899 最后基于多项式拟合原理连接满足关联关系的新、老航迹。 Based on the principle of polynomial fitting connection relationship meet new and old track.
11900 经仿真验证,在中断区间目标发生机动运动的条件下,所提算法的关联效果相对于经典的中断航迹关联算法有显著提升。 Verified by simulation, the interruption interval target maneuvering conditions, associated effect of the proposed algorithm is compared with the classical correlation algorithm has significantly increased.
11901 所提算法对于复杂环境具有较强的适应能力,经50次蒙特卡罗仿真,在中断时间小于18个滤波周期条件下,机动目标的平均正确关联率达到90%以上,机动环境的全局关联正确率达到85%以上。 Proposed algorithm has strong ability to adapt to complex environments, 50 times of monte carlo simulation, under the condition of the interrupt time is less than 18 filtering cycle, maneuvering target, the average correct association rate of more than 90%, over 85% correct association of global mobile environment.
11902 针对现有直觉模糊相似度量所存在的不足,提出一种基于倾向性的直觉模糊相似度量方法。 Aiming at the shortcomings of the existing intuitionistic fuzzy similarity measure is, put forward a kind of intuitionistic fuzzy similarity measure based on bias.
11903 首先,基于直觉指数所表征的中立证据中支持与反对的程度呈均衡状态假设,揭示了影响直觉模糊集相似性大小的3个相互作用因素之间的内部关系,给出了相似度量的几何表示。 ‭First of all, based on the intuitive index is characterized by the neutral evidence in support and opposition to the degree of equilibrium hypothesis, reveals the effect intuitionistic fuzzy sets the size of the similarity the internal relationship between the three factors of interaction, geometric said similarity measures are given.