Annual progress of the sea-detecting x-band radar and data acquisition program

被引：0
作者：
Liu N. [1 ]
Ding H. [1 ,2 ]
Huang Y. [1 ]
Dong Y. [1 ]
Wang G. [1 ]
Dong K. [1 ,3 ]
机构：
[1] Information Fusion Institute, Naval Aviation University, Yantai
[2] National Innovation Institute of Defense Technology, Chinese Academy of Military Science, Beijing
[3] China Academy of Electronics and Information Technology, Beijing
来源：
Journal of Radars | 2021年 / 10卷 / 01期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Data sharing; Radar; Sea clutter; Sea-detecting experiment; Target detection;
D O I：
10.12000/JR21011
中图分类号：
学科分类号：
摘要：
There is an urgent need for radar-measured data to tackle key technologies of radar maritime target detection. The "Sea-detecting X-band Radar and Data Acquisition Program", proposed in 2019, aims to obtain data through radar experiments and share them publicly. In 2020, the program continued to advance and conducted several experiments in three aspects, namely, Radar Cross-Section (RCS) calibration of radar targets, detection of sea clutter and target under different sea conditions, as well as detection and tracking of maneuvering targets in sea. The measurement data of the stainless steel sphere calibrator at different distances in radar slow-scanning mode, sea clutter in radar staring mode in different directions, sea target in radar staring mode, and marine engine speedboat in radar scanning mode are obtained. In addition, wind and wave data, data from the Automatic Identification System (AIS) of targets, visible/infrared data, and other associated sensor data are synchronously obtained. © 2021 Institute of Electronics Chinese Academy of Sciences. All rights reserved.
引用
收藏
页码：173 / 182
页数：9
相关论文
共 6 条
  • [1] DING Hao, LIU Ningbo, DONG Yunlong, Et al., Overview and prospects of radar sea clutter measurement experiments[J], Journal of Radars, 8, 3, pp. 281-302, (2019)
  • [2] GUAN Jian, Summary of marine radar target characteristics[J], Journal of Radars, 9, 4, pp. 674-683, (2020)
  • [3] XU Shuwen, BAI Xiaohui, GUO Zixun, Et al., Status and prospects of feature-based detection methods for floating targets on the sea surface[J], Journal of Radars, 9, 4, pp. 684-714, (2020)
  • [4] HE Fengshou, HE You, LIU Zhunga, Et al., Research and development on applications of convolutional neural networks of radar automatic target recognition, Journal of Electronics & Information Technology, 42, 1, pp. 119-131, (2020)
  • [5] CHEN Xiaolong, HUANG Yong, GUAN Jian, Et al., Review of long-time integration techniques for weak targets using MIMO radar, Journal of Signal Processing, 36, 12, pp. 1947-1964, (2020)
  • [6] LIU Ningbo, DONG Yunlong, WANG Guoqing, Et al., Seadetecting X-band radar and data acquisition program, Journal of Radars, 8, 5, pp. 656-667, (2019)
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