| ID | 原文 | 译文 |
| 19265 | 基于电子注纵横运动与电磁场纵横分量同时同步相互作用，该文从麦克斯韦方程和线性伏拉索夫方程出发，推导出将回旋共振和契伦科夫共振同时考虑在内的平面单栅注波互作用热色散方程。 | Based on the beam wave synchronization interaction in transverse and longitudinal directions at thesame time and derived from Maxwell’s equation and linear Vlasov equation, the planar metallic grating beam-waveinteraction “hot” dispersion equation considering both cyclotron resonance and Cherenkov resonance is deduced. |
| 19266 | 在合理选择几何参数和电参数的基础上，通过热色散方程数值计算和分析，发现具有回旋共振增强效应下的注波互作用增益和频带都高于只有契伦科夫共振辐射下的结果。 | Through the reasonable selection for geometric and electrical parameters, the numerical calculation and analysis of the “hot” dispersion equation show that the beam-wave interaction gain and frequency band with the cyclotron resonance enhancement effect are higher than those with only Cherenkov resonance radiation. |
| 19267 | 针对传统的微多普勒特征提取技术难以解决多目标分辨和微动参数估计这一问题，该文针对进动多目标，提出一种曲线交叠外推的微动多目标宽带分辨算法。 | To solve the problem that the traditional micro-Doppler feature extraction technologies are generally hard to achieve resolution and parameter estimation of multi-target, a novel curve overlap extrapolation algorithm for wide-band resolution of micro-motion multi-target is proposed. |
| 19268 | 该算法以各个滤波数据点间的相对距离为准则，结合各曲线的历史斜率信息，对交叠点后的点迹进行外推估计，实现各个分量信号微动曲线的区分关联。 | According to the relative distance between filtering data points and the historical slope information of each curve, the point trace behind the overlapping location can be extrapolated to realize data association of micro-motion curve for each signal component. |
| 19269 | 在此基础上，通过分析各曲线的微动特性差异实现多目标分辨。 | On this basis, the multi-target resolution can be realized by analyzing the difference of micor-motion characteristics between each curve. |
| 19270 | 仿真实验验证了所提算法的有效性和稳定性。 | Extensive simulation experiments are provided to illustrate the effectiveness and robustness of the proposed algorithm. |
| 19271 | 针对合成孔径雷达(SAR)成像中的稀疏特征增强问题，传统方法难以在精度与效率之间实现有效的平衡。 | For the problem of sparse feature enhancement in Synthetic Aperture Radar (SAR) imagery, conventional methods are difficult to achieve a preferable balance between accuracy and efficiency. |
| 19272 | 该文提出基于复数交替方向多乘子方法(C-ADMM)，针对SAR稀疏特征增强建立增广的拉格朗日优化方程，并引入复数范数邻近算子，基于高斯-赛德尔思想进行对偶迭代运算，从而在复数回波数据域内对多种SAR模式的实测数据进行成像。 | In this paper, a robust and efficient SAR imaging algorithm based on Complex Alternating Direction Method of Multipliers(C-ADMM) is proposed for general SAR imaging feature enhancement within complex raw data domain. The problem is firstly imposed by an augmented Lagrange function, and the complex -norm of the intended SAR image is jointly formulated within the C-ADMM framework. Then, the proximal mapping of the sparse feature is derived as a soft-thresholding operator. Further, an iterative processing procedure is designed according to Gaussian-Deidel principle, and the convergence of the proposed algorithm is analyzed. |
| 19273 | 实验部分首先通过仿真数据的相变图(PTD)验证C-ADMM算法对于复数数据的稀疏恢复性能，然后选取地面静止场景和地面运动目标的原始SAR图像和逆SAR图像实测数据，与凸优化(CVX)方法和贝叶斯压缩感知(BCS)方法进行对比试验，最后验证了该文所提算法在稀疏特征增强应用中的稳健性、高效性和通用性。 | In the experiment, the performance of the proposed algorithm is firstly examined by the simulated data in terms of Phase Transition Diagram (PTD) under different under-sampling rate and degree of sparsity. Then, various raw SAR and Inverse SAR(ISAR) data, for both stationary ground scene and Ground Moving Target Imaging(CMTIm), are applied to further verifying the proposed C-ADMM, and comparisons with classical Convex(CVX) and Bayesian Compress Sensing(BCS) algorithms are performed, so that both the effectiveness and superiority of the C-ADMM algorithm can be verified. |
| 19274 | 前视合成孔径雷达(SAR)成像存在多普勒左右模糊的问题，需要利用空域资源进行解模糊处理。 | Forward-looking Synthetic Aperture Radar (SAR) imaging has the problem of left-right Doppler ambiguity, so it is necessary to use spatial resources for ambiguity resolution. |