ID	原文	译文
3313	为了进一步提升车联万物（V2X）的通信性能，首先根据信道冲激响应的稀疏性建立了适用于高速移动场景的基扩展模型（BEM）；	In order to further improve the vehicle-to-everything (V2X) communication performance of the Internet of ve-hicles, a basis expansion model (BEM) was adopted and suitable for high-speed mobile scenarios to transform the chan-nel estimation into a sparse signal reconstruction.
3314	其次，证明了 BEM 系数具有稀疏性，将信道估计问题转化为稀疏信号重构问题，进而提出基于 BEM 的改进正则化正交匹配追踪（iROMP）迭代稀疏信道估计算法（简称为 BEM-iROMP 算法）。	Furthermore, it was proved that the BEM coefficients were sparse, and an improved regularized orthogonal matching pursuit (iROMP) channel estimation algorithm based on BEM(BEM-iROMP) was proposed.
3315	所提算法通过 iROMP 获取 BEM 系数，利用反馈结果不断迭代以达到最优信道估计。	BEM coefficients were acquired by the iROMP, and finally the feedback results were ite-rated to achieve the optimal channel estimation.
3316	仿真结果表明，与最小二乘法、线性最小均方误差和 BEM-LS 信道估计算法相比，所提算法能够有效提高 V2X 快时变信道下单载波频分多址系统的归一化均方误差和误码率性能。	Simulation results show that in comparison with the least square (LS),linear minimum mean squared error (LMMSE), and BEM-LS channel estimation algorithms, the proposed algorithm caneffectively improve the normalized mean square error (NMSE) and bit error rate (BER) performance.
3317	为满足绿色万物互联的智能信号处理部署和物理层安全的新要求，针对基于智能反射面辅助的无线携能通信物联网系统中可持续能量供应紧缺问题，提出了一种安全波束成形设计方法。	In order to meet the new requirements of intelligent signal processing deployment and physical layer security for green interconnection of things, a design method of secure beam forming was proposed to solve the problem of the shortage of sustainable energy supply in the information and energy transmission at the same time Internet of things (IoT)system assisted by intelligent reflecting surface (IRS).
3318	考虑保密速率、发射功率和 IRS反射相移约束，以最大化能量采集器采集功率为目标，联合优化基站发射波束成形矩阵和干扰机协方差矩阵以及IRS 相移，将优化问题建模为具有二次型约束的非凸二次型规划问题。	Considering the constraints of secrecy rate, transmit power and IRS reflection phase shift, the optimization problem was modeled as a non-convex quadratic programming problem with quadratic constraints, aiming at maximizing the acquisition power of energy collector, and jointly optimizing the base sta-tion transmit beamforming matrix, jammer covariance matrix and IRS phase shift.
3319	利用松弛变量、半定松弛法、辅助变量和序列参数凸逼近法将非凸的二次型问题转化为等价的凸问题，并提出一种交替迭代优化算法获取原问题的可行解。	The non-convex quadratic problem was transformed into an equivalent convex problem by using the relaxation variable, semidefinite relaxation method,auxiliary variable and sequence parameter convex approximation method, and an alternative iterative optimization algo-rithm was proposed to obtain the feasible solution of the original problem.
3320	仿真结果表明，所提算法能够快速收敛，且与基准方案相比能有效地提升性能。	Simulation results show that the proposed algorithm can converge quickly and improve performance effectively compared with the benchmark scheme.
3321	介绍了陶瓷波导滤波器的设计理论，采用耦合通槽分别与浅、深耦合盲孔的组合结构来满足正、负耦合带宽要求，	The design theory of ceramic waveguide filter was introduced, and then the combination structure of couplingthrough slot with shallow or deep coupling blind hole was designed, which could meet the requirements of positive andnegative coupling bandwidth.
3322	通过调整 3～6 腔体的交叉耦合来改善滤波器传输曲线的对称性，同时实现滤波器近端和远端的带外抑制，在此基础上设计了一款 5G 基站用六腔陶瓷波导滤波器。	By adjusting the cross coupling between 3～6 cavities, the symmetry of the filter transmis-sion curve was improved, and the near and far end band suppression of the filter was realized. Finally, a six-cavity ce-ramic waveguide filter for 5G base station was designed.