ID 原文 译文
25255 最后，在误差容限内，依据时差的不变性，实现对单脉冲信号的实时分选。 Finally, within the error tolerance, according to the invariance of time difference, the single pulse signal is sorted in real-time．
25256 仿真结果表明，与现有算法相比，该算法能够对复杂脉间和脉内调制信号、超低重频信号甚至单脉冲信号进行有效分选，具有较高的分选正确率和较好的分选实时性。 The simulation results show that compared with the existing algorithms, the algorithm can effectively sort complex inter-pulse or intra-pulse modulated signals and low repetitive frequency signals, with extremely low false alarm, false dismissal rateand high correct sorting rate. At the same time, it is real-time．
25257 双基地雷达观测下，锥体目标的微动特征可以由顶部局部型散射中心，底面边缘滑动型散射中心和侧面滑动型散射中心的微多普勒来表述。 In the bistatic configuration, the micro-motion features can be represented by three types of scattering centers, the localized scattering center located at the target tip, and the two types of sliding scattering centers sliding along the target bottom edge and on the target side face．
25258 首先，本文建立了三种类型双基地散射中心的微多普勒统一参数化模型; The micro-Doppler of three types of scattering centers is firstly represented by a unified parametric model．
25259 然后，提出滑动系数概念，即采用参数化模型两个参数的比值来定量评价散射中心的滑动特性，从而判别锥体目标上散射中心的类型; Then, the sliding coefficient is defined by two parameters of the parametric model, and it is applied to discriminate scattering center types．
25260 最后，通过电磁仿真验证了该参数化模型的准确性以及散射中心类型判别方法的可靠性，对锥体目标识别具有重要意义。 At last, electromagnetic simulation results demonstrate that the micro-Doppler parametric model is precise, and the presented sliding coefficient is a reliable feature to recognize the cone-shaped targets．
25261 为充分利用数据中心网络的多路径带宽，现有研究多采用基于链路感知的负载均衡算法，在动态获取全局链路拥塞信息后选取最优路径对流量进行转发。 In order to fully utilize the bandwidth of multi-paths of the data center network (DCN), the existing studies mostly adopt the congestion-aware load-balancing scheme, which forwards traffic along the optimal path after dynamically obtaining global congestion information．
25262 然而这些研究未考虑数据中心网络流量大小分布不均匀的特性，难以在选路成本和转发效率上取得平衡。 However, these works do not consider the non-uniform distribution of flow size and are difficult to strike a balance between the routing cost and the forwarding efficiency．
25263 为此，设计一种基于流分类的数据中心网络负载均衡机制(ULFC，Utilization-aware Load balancing based on Flow Classification)，在实现拥塞感知的基础上进行流量特征分析，采用不同的策略为大、小流分配路径，实现网络流量特征与选路方法优势的最佳匹配。 This paper proposes ULFC, a utilization-awareload-balancing mechanism based on flow classification. By analyzing the characteristics of traffic, ULFC classifies the flows based on their sizes and assigns paths to them using different strategies, realizing the best matching between the characteristics of traffic and the advantages of the routing method.
25264 实验结果表明，相比于现有方案，ULFC 的平均流处理效率提高了 1. 3 倍至 1. 6 倍，路由成本降低了 50% 以上。 We evaluate ULFC with simulation and the results show that it outperforms the existing schemes in average flow-completion time (1.3 ～ 1.6 × )，while the routing cost has been reduced by more than 50% ．