OTFS-FMCW Waveform Design for Low Complexity Joint Sensing and Communication

被引:7
|
作者
Zegrar, Salah Eddine [1 ]
Rafique, Saira [1 ]
Arslan, Huseyin [1 ]
机构
[1] Istanbul Medipol Univ, Dept Elect & Elect Engn, Istanbul, Turkey
关键词
!text type='JS']JS[!/text]AC; OTFS; FMCW; radio environment mapping; RADAR;
D O I
10.1109/PIMRC54779.2022.9977883
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Joint sensing and communication (JSAC) systems are becoming attractive technologies since they can map the radio environment while performing communication using the same frequency bands. This is achieved by radar signal processing of the received signal that is composed of a known waveform. However, varying the waveform used for JSAC will create a trade-off between throughput and computational complexity. In this paper, we propose a joint orthogonal time-frequency space (OTFS)-frequency modulated continuous wave (FMCW) waveform design to perform JSAC to achieve high data rates due to OTFS and low-complex simple radar receiver thanks to FMCW. This is done by exploiting the simultaneous locality property of the FMCW in both time-frequency and delay-Doppler domains to orthogonally superimpose OTFS and FMCW, and use them for communication and sensing, respectively. Then, we provide an analysis of the computational complexity of the proposed design. The conducted simulation results demonstrate that the proposed waveform design can achieve accurate low-complexity radar parameters estimation while preserving high data rates.
引用
收藏
页码:988 / 993
页数:6
相关论文
共 50 条
  • [1] Integrated OTFS Waveform Design Based on Unified Matrix for Joint Communication and Radar System
    Li, Mao
    Liu, Wei
    Lei, Jing
    Zhu, Jinkun
    An, Kang
    Chatzinotas, Symeon
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (18): : 29235 - 29251
  • [2] Performance Analysis of a Low-Complexity OTFS Integrated Sensing and Communication System
    Bacchielli, Tommaso
    Pucci, Lorenzo
    Paolini, Enrico
    Giorgetti, Andrea
    2023 IEEE 98TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-FALL, 2023,
  • [3] Waveform Design of Low Complexity WR-OTFS System for the OOB Power Reduction
    Hossain, Md Najmul
    Sugiura, Yosuke
    Shimamura, Tetsuya
    Ryu, Heung-Gyoon
    2020 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE WORKSHOPS (WCNCW), 2020,
  • [4] Radar-embedded communication waveform design with low complexity
    Zhang C.
    Li B.
    Wang X.
    Xu Q.
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2023, 44 (01):
  • [5] Low-Complexity Joint Azimuth-Range-Velocity Estimation for Integrated Sensing and Communication with OFDM Waveform
    Zhang, Jun
    Yang, Gang
    Ye, Qibin
    Huang, Yixuan
    Hu, Su
    arXiv,
  • [6] Low-Complexity Waveform Design for PAPR Reduction in Integrated Sensing and Communication Systems Based on ADMM
    Wu, Jinlong
    Li, Lixin
    Lin, Wensheng
    Liang, Junli
    Han, Zhu
    IEEE SENSORS JOURNAL, 2024, 24 (11) : 18488 - 18498
  • [7] Highly Efficient Waveform Design and Hybrid Duplex for Joint Communication and Sensing
    Ma, Yihua
    Yuan, Zhifeng
    Xia, Shuqiang
    Yu, Guanghui
    Hu, Liujun
    IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (19) : 17369 - 17381
  • [8] Joint Communication Beamforming and Sensing Waveform Design of LEO Satellite Constellations
    Wang, Qi
    Chen, Xiaoming
    Qi, Qiao
    2024 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC 2024, 2024,
  • [9] PAM Waveform Design for Joint Communication and Sensing Based on Visible Light
    Wang, Jinliang
    Huang, Nuo
    Gong, Chen
    Wang, Wei
    Li, Xu
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (11): : 20731 - 20742
  • [10] Low-PAPR Integrated Sensing and Communication Waveform Design
    Yao, Rubing
    Wei, Zhiqing
    Su, Liyan
    Wang, Lin
    Feng, Zhiyong
    2023 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC, 2023,