ID 原文 译文
17095 考虑到目标稀疏散射特征和多超参数的高维统计特性，该文应用吉布斯(Gibbs)随机采样方法，实现对ISAR目标稀疏特征的求解，并同步获取包括正则项系数在内的多参数估计。 Considering the high dimensions of sparse image responses and multiple hyper-parameters, the Gibbs sampler is adopted, where the Bayesian posterior of the ISAR image and high-dimensional hyper-parameters can be solved with fully confidence.
17096 基于该文研究方法可实现全部参数均通过数据学习获得，从而有效避免繁琐的参数调整过程，提升算法的自动化程度。 Based on the research in this paper, all parameters can be attained by data, therefore tedious parameter adjustment can be avoided, and the automation level of the algorithm can be improved.
17097 仿真及实测数据均可证明该方法的有效性和优越性。 Theeffectiveness and superiority of this method are proved by both simulated and measured data experiments.
17098 针对传统视频SAR(ViSAR)运动目标检测方法存在的帧间配准难度大、快速运动目标阴影特征不明显、虚警概率高等问题，该文提出一种基于改进快速区域卷积神经网络(Faster R-CNN)的视频SAR运动目标检测方法。 To solve the problems of inter-frame registration difficult, unclear shadow characteristics of fastmoving targets and high false alarm probability in traditional Video Synthetic Aperture Radar (ViSAR)moving target detection methods, a novel video SAR moving target detection method based on improvedFaster Region-based Convolutional Neural Networks (Faster R-CNN) is proposed.
17099 该方法结合Faster R-CNN深度学习算法，利用K-means聚类方法对anchor box的长宽及长宽比进行预处理，并采用特征金字塔网络(FPN)架构对视频SAR运动目标的“亮线”特征进行检测。 Combining with the deeplearning algorithm of Faster R-CNN, the new method applies the K-means clustering method to preprocess thelength, width and aspect ratio of the anchor box. Besides, the Feature Pyramid Networks (FPN) network architecture is used to detect the ‘bright line’ feature of the video SAR moving targets.
17100 与传统方法相比，该方法具有实现简单、检测概率高、虚警概率低等优势。 Compared with traditional methods, the proposed method has the advantages of simple implementation, high detection probability and low false alarm probability.
17101 最后，通过课题组研制的Mini-SAR系统获取的实测视频SAR数据验证了新方法的有效性。 Finally, the effectiveness of the new method is verified by themeasured video SAR data obtained from the Mini-SAR system developed by our project team.
17102 携带有轨道角动量(OAM)的涡旋电磁(EM)波在雷达应用领域已经受到了广泛关注，利用涡旋电磁波，不仅可以观测到目标的线多普勒频移，还能够获取角多普勒频移信息。 Vortex ElectroMagnetic (EM) wave with Orbital Angular Momentum (OAM) is widely concerned inradar applications. With vortex EM wave, not only the linear Doppler shift of the target can be observed, butalso the angular Doppler shift information can be obtained.
17103 基于角多普勒效应，涡旋电磁波雷达具有检测垂直于径向运动分量的能力，可以实现对自旋目标微动特征的提取。 Based on the angular Doppler effect, the vortex EMwave radar has the ability to detect the component perpendicular to the radial motion, and can extract themicro-motion features of the spinning target.
17104 首先，该文建立直角坐标系下角多普勒频移的参数化模型，给出了涡旋电磁波雷达、目标运动参数与角多普勒频移之间的定量关系描述。 Firstly, the parametric model of angular Doppler shift inCartesian coordinate system is established, and the quantitative relationship among vortex EM wave radar,target motion parameters and angular Doppler shift is provided.