ID 原文 译文
47926 根据一阶和二阶空中交通复杂度映射的定义,将复杂度预测问题转化为高斯随机变量的二次型求解问题,并采用劳伦级数展开计算出复杂度映射。 According to the first-order and second-order air traffic complexity mapping definitions, forecast the complexity of the problem into the solution of the quadratic gaussian random variables, and USES the Laurent series expansion to calculate the complexity of mapping.
47927 通过对设计的场景进行仿真,证明了所提方法的有效性。 Based on the design of scene simulation, proved the effectiveness of the proposed method.
47928 单频率高频地波雷达海上目标探测会受到一阶海杂波和高频谐振区目标回波强度起伏的影响,引起目标漏检。 Single frequency high frequency ground wave radar sea targets detection by first-order sea clutter and high frequency resonance zone target echo intensity fluctuation, the influence of target leak.
47929 利用实测船只探测实验数据,分析了双频地波雷达目标探测的特点, Using measured ship detection experiment data, this paper analyzed the characteristics of double frequency ground wave radar target detection,
47930 并重点分析了海杂波对目标探测的影响,指出双频雷达可以克服单一频率目标探测中漏检的缺陷,提高船只目标的检测率。 and focuses on analyzing the influence of sea clutter of target detection, points out that the dual-band radar can overcome target detection in single frequency residual defects, improve the ship target detection rate.
47931 通过分析双频地波雷达检测结果的不同分类及处理方式,给出了双频地波雷达目标点迹融合处理方法, Through the analysis of the different classification of dual frequency ground wave radar detection results and processing method, presents a double frequency ground wave radar target track fusion processing method,
47932 讨论和分析了目标点迹关联中距离门、速度门和方位门等参数的选取原则及影响因素。 discussed and analyzed the target track correlation parameters such as distance, speed and bearing door door selection principle and influence factors.
47933 最后利用实测同步的自动识别系统数据,评价了目标点迹融合的探测精度。 Finally, the automatic identification system data using the measured synchronously, evaluate the detection precision of the target tracking fusion.
47934 深入研究卫星时变拓扑网络与信息可视化相结合的可视化分析问题,提出一个多视图可视化分析框架。 In-depth research satellite time-varying topology network and the combination of information visualization visualization to analyze problems, put forward a multiview visualization analysis framework.
47935 该框架在集成传统两视图的基础上,重点关注卫星网络的动态时变特性, The framework on the basis of the integration of the two traditional view, focus on the dynamic time-varying characteristics of satellite network,