无人艇载雷达视频无线传输技术研究
作者:
中图分类号:

TN957;E925

基金项目:

国防科技创新特区项目(19-163-11-ZT-002-003-01);装备预研船舶重工联合基金重大基金(6141B04070201-03)


Wireless transmission of USV radar video
Author:
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • | | |
  • 文章评论
    摘要:

    雷达视频数据量大,更新频率高,传输带宽占用量大.无人艇(USV)岸艇数据传输带宽有限,传输信息种类多、数量大.在无人艇使用过程中,雷达视频是岸基操作人员安全航行保障、交战对象搜索确认等不可或缺的支持信息,然而岸艇数据互通带宽资源的紧缺和雷达视频的大信息传输需求之间的矛盾必然存在.本文根据雷达探测成像原理,对雷达视频进行数字化表示,经压缩、数据传输和复原显示,实现无人艇岸基控制站对艇载雷达视频的还原显示.该技术在某型USV控制系统中的应用结果表明:视频压缩比高、处理时延低、视频还原完整、容错性好.

    Abstract:

    Radar videos are characterized by large data volume,high update frequency and large transmission bandwidth.While the data transmission bandwidth of USV (Unmanned Surface Vehicles) to shore is limited,and the transmission information is various and large in volume.In the use of USV,radar videos are indispensable support for shore-based operators to ensure safe navigation,quick search and accurate confirmation of belligerent objects.However,there is an inevitable contradiction between the shortage of bandwidth resources of shore-USV data intercommunication and the large information transmission demand of radar videos.Based on the principle of radar detection and imaging,this paper presents the digital representation of the radar videos,and realizes the restoration and display of radar video by the shore-based control station through video compression,data transmission and restoration display.The proposed wireless transmission method is applied to a USV control system,and results demonstrate that it is high in video compression ratio,low in processing delay,with complete video restoration and good fault tolerance.

    参考文献
    [1] 李家良.水面无人艇发展与应用[J].火力与指挥控制,2012,37(6):203-207 LI Jialiang.Development and application of unmanned surface vehicle[J].Fire Control & Command Control,2012,37(6):203-207
    [2] 李楠,陈练,庞衍鹏,等.无人艇装备技术发展与作战运用探析[J].舰船科学技术,2019,41(23):29-34 LI Nan,CHEN Lian,PANG Yanpeng,et al.Analysis on key technologies evolution and application of USV[J].Ship Science and Technology,2019,41(23):29-34
    [3] 王石,张建强,杨舒卉,等.国内外无人艇发展现状及典型作战应用研究[J].火力与指挥控制,2019,44(2):11-15 WANG Shi,ZHANG Jianqiang,YANG Shuhui,et al.Research on development status and combat applications of USVs in worldwide[J].Fire Control & Command Control,2019,44(2):11-15
    [4] 王旭升.无人艇雷达图像目标检测系统的研究[D].大连:大连海事大学,2016 WANG Xusheng.Research of USV radar image target detection system[D].Dalian:Dalian Maritime University,2016
    [5] Yin Q Y,Lv Y.Multichannel adaptive deployment and reliable communication design for unmanned surface vessel[J].International Journal of Advanced Robotic Systems,2020,17(1).DOI:10.1177/172988141989158
    [6] 陈康先,程兴国,肖南峰.基于GPRS的视频图像传输系统设计与实现[J].南京信息工程大学学报(自然科学版),2011,3(1):72-77 CHEN Kangxian,CHENG Xingguo,XIAO Nanfeng.Design and implementation of GPRS-based video images transmission system[J].Journal of Nanjing University of Information Science & Technology (Natural Science Edition),2011,3(1):72-77
    [7] 陈聪.基于FPGA的二值图像JBIG压缩算法研究与实现[D].西安:西安电子科技大学,2013 CHEN Cong.Research and implementation of JBIG compression for binary image based on FPGA[D].Xi'an:Xidian University,2013
    [8] Weinberger M J,Seroussi G,Sapiro G.LOCO-I:a low complexity,context-based,lossless image compression algorithm[C]//Proceedings of Data Compression Conference,1996:140-149
    [9] Narayanan B N,Hardie R C,Balster E J.Multiframe adaptive Wiener filter super-resolution with JPEG2000-compressed images[J].EURASIP Journal on Advances in Signal Processing,2014,2014:55
    [10] 延学萍.基于上下文的多维图像的无损/有损压缩技术[D].西安:西安电子科技大学,2012 YAN Xueping.Multidimensional image lossless and lossy compression based on the context[D].Xi'an:Xidian University,2012
    [11] Hua K L,Thi T H,Kathiravan S,et al.Reduction of artefacts in JPEG-XR compressed images[J].Sensors (Basel,Switzerland),2019,19(5).DOI:10.3390/s19051214
    [12] 张燕,陈苏婷,沈晓东.基于码率控制的DMB预警信息预处理系统[J].南京信息工程大学学报(自然科学版),2014,6(1):41-46 ZHANG Yan,CHEN Suting,SHEN Xiaodong.Pre-processing system of DMB early warning information based on bit-rate control[J].Journal of Nanjing University of Information Science & Technology (Natural Science Edition),2014,6(1):41-46
    [13] 张煜东,吴乐南,王水花,等.一种基于神经网络的遥感图像压缩编码[J].南京信息工程大学学报(自然科学版),2009,1(1):82-88 ZHANG Yudong,WU Lenan,WANG Shuihua,et al.A neural network based compression coding for remote sensing images[J].Journal of Nanjing University of Information Science & Technology (Natural Science Edition),2009,1(1):82-88
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

阴启玉,韩昱.无人艇载雷达视频无线传输技术研究[J].南京信息工程大学学报(自然科学版),2020,12(5):563-568
YIN Qiyu, HAN Yu. Wireless transmission of USV radar video[J]. Journal of Nanjing University of Information Science & Technology, 2020,12(5):563-568

复制
分享
文章指标
  • 点击次数:293
  • 下载次数: 1767
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 收稿日期:2020-04-05
  • 在线发布日期: 2020-10-29

地址:江苏省南京市宁六路219号    邮编:210044

联系电话:025-58731025    E-mail:nxdxb@nuist.edu.cn

南京信息工程大学学报 ® 2025 版权所有  技术支持:北京勤云科技发展有限公司