ID 原文 译文
4413 然后，对卫星网络分布式控制网络时延的进行研究，建立基于时延的控制器放置模型； Then, the controller placement model was established by analyzing the response latency of the satellite distributedcontrol.
4414 最后，将控制器放置问题转化为基于软容量限制的设备放置问题，设计近似算法对模型进行求解。 Finally, the controller placement problem was transformed into the soft capacitated facility location problem, andthe approximation algorithm was designed to solve the model.
4415 实验结果表明，所提方法能够在满足网络覆盖需求的同时优化网络时延。 The experimental results show that the proposed schemecan optimize network latency while meeting networking coverage demands.
4416 针对有限字符输入下人工噪声辅助空间调制系统的安全传输问题，提出了一种基于截断速率的天线选择算法。 For the security transmission of artificial noise with finite alphabet inputs in secure spatial modulation system,an antenna selection algorithm based on cut-off rate (COR) was proposed.
4417 考虑到保密速率的闭式表达式难以得到，通过引入截断速率作为保密速率的一种近似的有效指标，将最大化保密速率问题转化为最大化截断速率优化问题。 Considering that it was difficult to obtain theclosed-form expression of the secrecy rate, the problem of maximizing the secrecy rate into that of maximizing the CORwas converted by the algorithm.
4418 同时，为降低算法复杂度，对截断速率算法的搜索进行优化，通过对矩阵范数按列展开，将对应天线组合的矩阵范数问题简化为对应天线的列范数问题。 Meanwhile, in order to reduce the complexity, the COR algorithm was optimized by ex-panding the matrix norm in columns, which was corresponding to the problem of antenna combination.
4419 最后，将只对窃听者产生干扰的人工噪声矢量映射在合法信道空间，进一步提升系统保密速率。 Finally, the artifi-cial noise vector was mapped in the legitimate channel space to optimize secrecy rate, which only interferes with eave-sdropper.
4420 仿真结果表明，所提出的基于截断速率算法的系统保密速率性能优于基于信漏噪比算法和最大化保密速率算法，并具有更低的复杂度。 The simulation results show that the proposed algorithm based on COR is superior to the leakage-based algo-rithm and the maximum secrecy rate algorithm, and has lower complexity.
4421 针对非线性信道，基于预测原理提出了回声状态网络（ESN）在线盲均衡算法， In view of the nonlinear channel, the online blind equalization algorithm with echo state network was proposed based on prediction principle.
4422 首先将具有良好非线性映射能力的 ESN 代替传统的线性预测误差滤波器，并采用递归最小二乘（RLS）算法计算网络的输出权值，使网络预测误差达到最小； In the proposed algorithm, the traditional linear prediction error filter was replaced by theESN with good nonlinear mapping ability, and recursive least square (RLS) algorithm was used to calculate the outputweight of the network to minimize the network prediction error.