ID 原文 译文
19205 仿真结果表明：模型能够有效完成雷达网任务分配，且所提模型求解算法相比典型的智能搜索算法有更好的性能。 The simulation results show that the proposed model can effectively accomplish the target assignment ofradar network, and model solving algorithm has better performance than the typical intelligent search algorithms.
19206 针对传统虚拟网节能映射中存在的节点映射分散、链路映射跳数多等问题，利用虚拟网请求的最小生成树拓扑将节点和链路同时映射，该文提出了基于滑动区域的粒子群虚拟网节能映射算法(EVNE_SRPS)。 Considering the problem of scattered node mapping and more hops of link mapping in the traditional virtual network energy-saving embedding, the node and link are mapped simultaneously by using the minimum spanning tree topology of the virtual network request, and Energy-saving Virtual Network Embedding algorithm based on Sliding Region Particle Swarm (EVNE_SRPS) is proposed.
19207 当一个虚拟网请求到达时，生成其最小生成树拓扑，根节点为路径和最短的节点； When a virtual network requestarrives, the minimum spanning tree topology is generated, the root node is the node with the shortest pathlength;
19208 在底层网络随机选取多个区域作为粒子对象，并在区域中心映射虚拟网请求的最小生成树拓扑； Multiple regions are randomly selected as the particle object in the substrate network, and the minimum spanning tree topology of the virtual network request is mapped in the regional center;
19209 计算粒子的适应度，求出群体和个体最优解，并在最优解的指导下确定滑动方向、更新区域位置，经过迭代后得到虚拟网的映射方案。 The fitness of the particles is calculated. The optimal solution of the group and the individual is finded, and the sliding direction and the location of the update region under the guidance of the optimal solution are determined. Afterthe iteration, the mapping scheme of the virtual network is obtained.
19210 实验结果表明，与现有算法相比，该算法降低了网络能耗，提高了运营商的收益成本比。 The experimental results show thatcompared with the existing algorithms, the network energy consumption is reduced, and the internet serviceproviders revenue to cost ratio is improved.
19211 辐射源无调制信息的暂态信号能够表征辐射源发射机的无意调制特性，对该暂态信号分析可实现辐射源识别。 The transient signal without modulation information of the radiation source can characterize the unintentional modulation characteristics of the radiation source. The analysis of the transient signal can realize the radiation source identification.
19212 而跳频电台在开机以及频率转换瞬间，都存在一个无信息传送的暂态调整时间，该暂态调整瞬间，电台发射的信号是无调制信息的非线性、非平稳和非高斯信号。 In the switching on and frequency conversion process of the frequency-hopping signal, there is a transient adjustment time without information transmission. In the transient adjustment moment, the signal transmitted by the transmitter is a non-linear, non-stationary and non-Gaussian signal without modulation information.
19213 该暂态时间序列可反映跳频电台的器件特性，同时该序列往往呈现复杂的混沌特性。 This transient time series can reflect the device characteristics of thefrequency-hopping transmitter, and the sequence often exhibits complex chaotic characteristics.
19214 因此，借鉴混沌时间序列分析的思想，同时利用暂态信号的Low-rank特性，该文提出了一种基于暂态信号混沌吸引子重构和Low-rank聚类的跳频信号电台分选算法。 Therefore, from the idea of chaotic time series analysis and Low-rank characteristics of transient signal, a frequency-hopping transmitter classification algorithm is proposed based on chaotic attractor reconstruction and Low-rank clustering.