UniScatter: a Metamaterial Backscatter Tag for Wideband Joint Communication and Radar Sensing

被引:1
|
作者
Qian, Kun [1 ]
Yao, Lulu [1 ]
Zheng, Kai [1 ]
Zhang, Xinyu [1 ]
Ng, Tse Nga [1 ]
机构
[1] Univ Calif San Diego, San Diego, CA 92103 USA
来源
PROCEEDINGS OF THE 29TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING, MOBICOM 2023 | 2023年
关键词
Millimeter-wave; Backscatter; Metamaterial; Graphene Capacitor; 3D Printing; Luneburg Lens; FMCW Radar; LUNEBURG LENS; DESIGN;
D O I
10.1145/3570361.3592526
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Millimeter-wave backscatter can simultaneously support high-precision sensing and massive communication and represent one prominent technical evolution in next-generation wireless systems. The backscatter tags should ideally work across a wide mmWave spectrum range with consistent signal strength and angular coverage to accommodate highly diverse application scenarios. However, existing tags made of resonant antennas and RFICs only achieve a few GHz of bandwidth and hardly meet these requirements. In this paper, we present UniScatter, a new backscatter tag structure based on metamaterials. The key design of UniScatter is a graphene-based modulator and a lens-based retroreflector, which have consistent electromagnetic responses across an extensive frequency range and wide angular field-of-view. We have developed a robust fabrication process for UniScatter, and tested it on various mmWave sensing and communication devices. Our field tests show that UniScatter can backscatter signals across a wide frequency band from 24 GHz to 77 GHz with consistently high signal strength and wide angular coverage in 3D space.
引用
收藏
页码:301 / 316
页数:16
相关论文
共 50 条
  • [41] Maximizing Mutual Information for Covert Sensing in Joint Radar-Communication Systems
    Tam Nguyen
    Cuong Huy Huynh
    Ta, Hien Q.
    Toan-Van Nguyen
    Nguyen Tien Hoa
    2024 IEEE TENTH INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND ELECTRONICS, ICCE 2024, 2024, : 25 - 29
  • [42] Enhanced Automotive Sensing Assisted by Joint Communication and Cognitive Sparse MIMO Radar
    Wang, Xiangrong
    Zhai, Weitong
    Zhang, Xuan
    Wang, Xianghua
    Amin, Moeness G.
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2023, 59 (05) : 4782 - 4799
  • [43] Random-Padded OTFS Modulation for Joint Communication and Radar/Sensing Systems
    Karpovich, Pavel
    Zielinski, Tomasz P.
    2022 23RD INTERNATIONAL RADAR SYMPOSIUM (IRS), 2022, : 104 - 109
  • [44] FULL DUPLEX RADIO/RADAR TECHNOLOGY: THE ENABLER FOR ADVANCED JOINT COMMUNICATION AND SENSING
    Barneto, Carlos Baquero
    Liyanaarachchi, Sahan Damith
    Heino, Mikko
    Riihonen, Taneli
    Valkama, Mikko
    IEEE WIRELESS COMMUNICATIONS, 2021, 28 (01) : 82 - 88
  • [45] Monostatic radar sensing of partially nonreciprocal mediums backscatter
    Khlusov, Valeriy A.
    Vorob'ov, Peter V.
    JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, 2021, 35 (13) : 1687 - 1698
  • [46] Joint wireless communication and radar sensing systems - state of the art and future prospects
    Han, Liang
    Wu, Ke
    IET MICROWAVES ANTENNAS & PROPAGATION, 2013, 7 (11) : 876 - 885
  • [47] Beam-Space MIMO Radar for Joint Communication and Sensing With OTFS Modulation
    Dehkordi, Saeid K.
    Gaudio, Lorenzo
    Kobayashi, Mari
    Caire, Giuseppe
    Colavolpe, Giulio
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 22 (10) : 6737 - 6749
  • [48] Joint communication and radar sensing system based on interleave-division multiplexing
    Jin, Shengcai
    Wu, Wen
    Journal of Computational Information Systems, 2013, 9 (02): : 611 - 618
  • [49] Joint Radar and Communication: A Survey
    Zhiyong Feng
    Zixi Fang
    Zhiqing Wei
    Xu Chen
    Zhi Quan
    Danna Ji
    中国通信, 2020, 17 (01) : 1 - 27
  • [50] Joint Radar and Communication: A Survey
    Feng, Zhiyong
    Fang, Zixi
    Wei, Zhiqing
    Chen, Xu
    Quan, Zhi
    Ji, Danna
    CHINA COMMUNICATIONS, 2020, 17 (01) : 1 - 27