ID | 原文 | 译文 |
54497 | 在海面低空飞行目标探测场景中,主要利用声学方法对目标进行测向从而为其他高精度雷达系统提供引导,这就对声学测向方法的实时性提出了较高要求。 | In the detection of low altitude flight target in the sea surface, the acoustic DOA estimation is used to guide other high-precision radar systems, and the real-time performance of the acoustic DOA estimation is demanded. |
54498 | 针对低空高亚音速飞行目标DOA的快速估计问题,以利用布设于有限空间内的声传感器阵实现海面高亚音速目标角度的快速估计为背景,针对其宽带声信号精确测向的难题,建立了基于均匀线性空间十字阵的宽带时域阵列信号模型,为实现海面低空飞行目标的快速声学测向,将经典宽带时域多级维纳滤波器(MSWF)的DOA估计方法拓展至时域模型,提出了相应的宽带DOA快速估计方法,该方法在保持了多重信号分类算法优势的同时,有效提升了声学DOA估计的实时性。 | Aiming at the fast DOA estimation problem of low altitude and high subsonic flight target, the background was the fast acoustic direction-finding of high subsonic flight target by the several microphones in the finite space of the sea surface. The time-domain received signal model was established based on the uniform linear cross sensor arrays. To realize the fast DOA estimation of the high subsonic flight target, the traditional broadband MSWF of DOA estimation was expanded to the time signals, and the related DOA estimation method was proposed. The proposed method maintains the advantages of the MUSIC methods and effectively improves the real-time performance in the action. |
54499 | 合成孔径雷达(Synthetic Aperture Radar,SAR)图像场景通常较大,深层卷积网络用于SAR舰船目标检测时通常需要密集滑窗提取子图像预处理, | Synthetic Aperture Radar(SAR) image scene is usually large, deep convolutional network for SAR ship target detection usually requires dense sliding window to extract sub-image pre-processing, |
54500 | 然后利用目标检测网络直接对子图像进行目标检测,该过程存在大量信息冗余,极大影响了目标检测效率的提升。 | and then use the target detection network to directly target detection sub-image, the process has a large number of information redundancy, which greatly affects the efficiency of target detection. |
54501 | 在近岸区域下陆地场景偏多且场景复杂,针对以上问题,本文提出了一种结合场景分类的近岸区域SAR舰船快速目标检测方法(SC-SSD),该方法主要包含两个阶段:场景分类阶段和目标检测阶段。 | In the inshore region, there are many land scenes and complex scenes, for the above problems, this paper proposes a fast target detection method(SC-SSD) for SAR ships in the near-shore region combined with scene classification, which mainly consists of two stages: |
54502 | 它们分别是由场景分类网络(Convolutional Neural Network for Scene Classification,SC-CNN)和目标检测网络(Single Shot Detector,SSD)构成。 | scene classification stage and target detection stage. They consist of Convolutional Neural Network for Scene Classification(SC-CNN) and Single Shot Detector(SSD), respectively. |
54503 | 其中SC-CNN可以快速粗略筛选出可能包含舰船的子图像,然后将筛选出的子图像输入到SSD网络中实现精细化的舰船目标检测。 | The SC-CNN can quickly and coarsely filter out the sub-images that may contain ships, and then input the filtered sub-images to the SSD network to realize fine-grained ship target detection. |
54504 | 基于高分辨率SAR舰船检测数据集AIR-SARShip-1. 0的实验结果表明,提出方法相比于传统舰船检测方法,在保持较高的检测精度的同时,具有明显更快的检测速度。 | The experimental results based on the high-resolution SAR ship detection dataset AIR-SARShip-1. 0 show that the proposed method is significantly faster than the traditional ship detection method while maintaining a higher detection accuracy. |
54505 | 随着科学技术高速发展和应用需求的不断拓展,雷达传感和无线通信系统在收发通道、信号与数据处理、管理与控制等方面的差异正逐步缩小,已呈现出一体化趋势,为未来电子信息系统的发展提供了新的机遇和挑战。 | Electronic information systems, such as wireless communication and radar sensors, have extensively contributed to a diverse range applications in the recent past. For the next generation of top-level electronic information systems, the fusion of wireless communication and radar sensing is becoming increasingly crucial. The fusion concept would definitely bring up many benefits including architecture unification and simplification, functional reconfiguration and especially efficiency enhancement and cost reduction. |
54506 | 本文深度剖析了雷达与通信一体化的内在本质和潜在优势, | In this paper, the inherent essence and potential advantages of joint wireless communication and radar sensing systems are thoughtfully analyzed. |