ID 原文 译文
21305 首先通过对观测序列和方向图抽样点进行互相关计算，估计得到粗略角度，确定方向图重构的角度范围，再通过匹配重构避免观测角度矩阵的病态问题。 By calculating cross-correlation of theobserved amplitude trains with the antenna pattern samples, a coarse estimation of DOA is obtained todetermine the angle range under the matched reconstruction. Then, ill-determined problem can be avoided ifthe converted mode component is calculated with the new pattern.
21306 理论和仿真结果表明，所提的基于模式分量分离的多模测角方法具有估计精度高、计算简单的优点，提出的匹配重构方法提高了估计算法的适应性。 Both theoretical and simulation results demonstrate that the proposed method can obtain high precise estimation with low computation cost, and the proposed matched reconstruction approach extends the adaptability of the method.
21307 针对传统天线设计方法计算代价较大的缺陷，该文构建基于反向传播神经网络(BPNN)的新型天线代理模型。 Focusing on the problem of reducing the large computation cost of traditional antenna design methods, a new surrogate model based on Back Propagation Neural Networks (BPNN) is constructed.
21308 为解决BPNN训练易陷入局部最优的问题，采用粒子群优化(PSO)算法来改善神经网络初始结构参数，进而构建PSO-BPNN天线代理模型，并基于该模型提出多参数天线结构的快速多目标设计方法。 In order to solve the problem of easily falling into local optimum in BPNN, a PSO-BPNN surrogate model is developed by improving initial structural parameters of neural networks and applied to fast multi-objective optimization design of multi-parameter antenna structures.
21309 设计实例表明，该方法在预测精度以及计算代价等方面优于现有的常用天线设计方法。 The design results show that the proposed PSO-BPNN outperforms other existing antenna surrogate models in terms of prediction accuracy and prediction speed.
21310 所提方法对处理复杂高维参数空间天线设计问题具有实用价值。 The proposed method is of value in dealing with complex antenna designs with high-dimensional parameter space.
21311 俯仰向数字波束形成(DBF)处理是距离向多波束体制(MEB)星载合成孔径雷达(SAR)系统实现较高分辨率、超宽幅成像的关键。 Digital BeamForming (DBF) in elevation plays a crucial role for spaceborne Multiple Elevation Beam(MEB) SAR realizing the High-Resolution Wide-Swath (HRWS) imaging mode.
21312 但是，由于存在卫星姿态误差等因素的影响，星载MEB SAR系统的DBF接收波束指向会出现偏差，这将导致在对具有强散射体的区域(如存在船舶的海面、港口等区域)进行成像时会出现鬼影目标。 However, due to the influenceof satellite attitude error, the deviation of the DBF receiving beam direction always arises in such system. Thisleads to ghost targets appearing in the SAR image, when mapping the scenes (such as the seaport areas) withstrong scatterers.
21313 针对这一问题，该文提出一种基于矩阵束方法的俯仰向DBF处理方法。 To address the problem, a matrix pencil method based DBF processing approach in elevationis presented.
21314 首先对俯仰向通道回波数据进行匹配滤波处理，并根据预设阈值寻找强散射体的峰值位置； Firstly, according to the given threshold, the peak position of the strong scatterer is found fromthe range-compressed signals.