ID 原文 译文
50077 建立了激光清理GEO碎片的天基平台的轨道姿态耦合动力学模型，考虑了终端状态、安全距离、保持连续观测、控制和状态变量幅值等约束条件，以推进燃料消耗最省为性能指标，依据极小值原理推导了耦合控制方案的最优性内部结构标准，基于hp自适应伪谱法对仿真场景进行了寻优求解和分析验证。 set up the laser cleaning GEO orbit fragments of space-based platform attitude coupled dynamics model, considering the terminal state, safe distance, to keep continuous observation of conditions such as amplitude, control and state variables, in order to promote fuel consumption as the performance index, the province coupling control scheme is discussed based on the principle of minimum internal structure of optimality criteria, based on HP adaptive pseudo spectral method for optimal solution and analysis have been carried out to verify the simulation scene.
50078 仿真结果表明，耦合优化控制方案合理可行，对未来天基激光清理GEO碎片的工程实施具有一定参考价值。 Simulation results show that the coupling optimization control scheme is feasible, and the future space-based laser cleaning up pieces of GEO engineering implementation has a certain reference value.
50079 无线传感网因节点众多、应用场景多样和资源约束严格而具有复杂的分布特征、组网灵活性和高度动态性，基于簇的网络管理模式面临着如何实现针对不同的簇受损情形的高效簇维护问题。 Wireless sensor network because of many nodes, diversity of application scenarios and resource constraints, strict and complicated distribution, network flexibility and highly dynamic, network management model based on cluster is faced with how to realize the damages according to different clusters of efficient cluster maintenance problems.
50080 建立了一种可以适应不同簇维护需要的多模簇维护机制，以自适应局域按需簇维护为目标，根据网络中簇的动态变化时间和空间进行分类簇维护，将簇维护转化为局部性和事件触发的操作，触发机制包括簇头剩余能量低于设定阈值、簇头负载不均、新节点加入或簇内节点失效退出等，基于单个簇或相邻簇的状态变化关系启动单簇(簇内)维护或多簇(簇间)维护方案。 Established a multimode clusters can adapt to different cluster maintenance need maintenance mechanism, by adaptive local on-demand cluster maintenance as the goal, according to cluster the dynamic change of time and space in the network to classify cluster maintenance, locality and cluster maintenance can be converted to an event of operation, triggering cluster surplus energy is lower than the setting threshold, including the imbalance of the cluster head load, a new node to join or exit node failure within clusters, based on a single cluster or the state of the adjacent cluster relationship start single cluster (cluster) maintenance or more cluster (cluster) maintenance scheme.
50081 基于NS2的仿真结果表明: Based on the NS2 simulation results show that:
50082 与传统周期性、全网重新成簇的维护模式相比，该机制能够明显降低网络维护开销，有效均衡网络节点能耗、增加传输的数据包总量、100%节点存活时网络的平均生命周期最高可延长1.8倍。 compared with the traditional periodic, so compared to clusters of maintenance mode, the mechanism can significantly reduce the network maintenance overhead, balanced network node energy consumption effectively, increase the amount of packet transmission, 100% nodes when the network has the highest average life cycle can prolong survival 1. 8 times.
50083 针对多输入多输出(multiple input and multiple output，MIMO)雷达的侦察对抗问题，基于被动合成阵列技术构建了对MIMO雷达方位、辐射频率联合侦察估计的信号模型，通过多次不同速度联合谱估计算法实现了对MIMO雷达方位、频率的无模糊估计。 For multiple input multiple output (multiple input and multiple output, MIMO) radar reconnaissance against problems, based on passive synthetic array technique to construct the spy on MIMO radar azimuth, radiation frequency joint estimation of signal model, through many different velocities joint spectrum estimation algorithm for MIMO radar azimuth, frequency of fuzzy estimation.
50084 此外，推导了多辐射源条件下方位与频率联合侦察估计的克拉美-罗界(Cramer-Rao bound，CRB)。 In addition, more was deduced under the condition of radiation source bearing joint reconnaissance and frequency estimation of Latin America - ROM community (Cramer - Rao bound, the CRB).
50085 频率已知条件下推导了对单部阵列雷达方位侦察估计的CRB表达式，并进一步分别给出了对MIMO雷达和相控阵雷达进行侦察估计的CRB闭解式，对比分析了两种体制下方位侦察估计的性能。 Frequency is deduced under the condition of known about single array radar azimuth reconnaissance and estimate the CRB expression, and further are given respectively for MIMO radar and phased array radar reconnaissance estimates the CRB closed solution of type, contrast analysis of the two kinds of system of azimuth reconnaissance estimation performance.
50086 理论分析与仿真实验表明:信号频率未知条件下，所提算法能够实现对MIMO雷达方位、频率的无模糊估计，侦察估计精度随着信噪比以及不同速度联合估计次数的增大趋近于CRB; Theoretical analysis and simulation experiments show that under the condition of unknown signal frequency, the proposed algorithm can achieve without fuzzy estimation of MIMO radar azimuth, frequency, reconnaissance estimation precision as the signal-to-noise ratio and different speed approaching the increase the number of joint estimations in the CRB;