OTFS Transmission Assisted USV Environment Awareness in Satellites-denied Scenario

Ganlin Hao, Yu Wang, Minghao Yin, Chuanhui Ju, Yue Yu
{"title":"OTFS Transmission Assisted USV Environment Awareness in Satellites-denied Scenario","authors":"Ganlin Hao, Yu Wang, Minghao Yin, Chuanhui Ju, Yue Yu","doi":"10.1109/ICCCWorkshops57813.2023.10233780","DOIUrl":null,"url":null,"abstract":"In the upcoming area of 6G, integrating sensing and communication in complex environments, such as satellites-denied sea surface, evolving into a key point for unmanned surface vehicle(USV) environment awareness. However, accurately perceived heading velocity and position of high speed USV in maritime scenario remains a challenge due to the limited availability of information and hardware cost. To address this issue, the newly released Orthogonal Time Frequency and Space (OTFS) modulation, which extracts Doppler shifts in the spatial domain and time delays, has been proposed to lift relative velocity and position accuracy. In this paper, we introduce a solution that leverages the OTFS waveform to continuously receive communication signals and identify delay-Doppler domain indices simultaneously. Specifically, we design a factor graph to realize belief propagation(BP), which has the potential to retrieve enough information to complete perception. Simulation results show that the proposed method yields significant improvements in velocity and position accuracy compared to the classic methods.","PeriodicalId":201450,"journal":{"name":"2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCWorkshops57813.2023.10233780","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In the upcoming area of 6G, integrating sensing and communication in complex environments, such as satellites-denied sea surface, evolving into a key point for unmanned surface vehicle(USV) environment awareness. However, accurately perceived heading velocity and position of high speed USV in maritime scenario remains a challenge due to the limited availability of information and hardware cost. To address this issue, the newly released Orthogonal Time Frequency and Space (OTFS) modulation, which extracts Doppler shifts in the spatial domain and time delays, has been proposed to lift relative velocity and position accuracy. In this paper, we introduce a solution that leverages the OTFS waveform to continuously receive communication signals and identify delay-Doppler domain indices simultaneously. Specifically, we design a factor graph to realize belief propagation(BP), which has the potential to retrieve enough information to complete perception. Simulation results show that the proposed method yields significant improvements in velocity and position accuracy compared to the classic methods.
在卫星拒绝的情况下,OTFS传输辅助USV环境感知
在即将到来的6G领域,在卫星拒绝的海面等复杂环境中集成传感和通信,将成为无人水面车辆(USV)环境感知的关键点。然而,由于信息可用性和硬件成本的限制,高速无人潜航器在海上场景中准确感知航向速度和位置仍然是一个挑战。为了解决这个问题,新发布的正交时频和空间(OTFS)调制被提出,该调制提取了空间域的多普勒频移和时间延迟,以提高相对速度和位置精度。本文介绍了一种利用OTFS波形连续接收通信信号并同时识别延迟多普勒域指标的解决方案。具体来说,我们设计了一个因子图来实现信念传播(BP),它有可能检索到足够的信息来完成感知。仿真结果表明,与传统方法相比,该方法在速度和位置精度上都有显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信