Integrated Sensing and Communication Waveform Design With Sparse Vector Coding: Low Sidelobes and Ultra Reliability

Ruoyu ZHANG, Byonghyo SHIM, Weijie YUAN*, Marco Di RENZO, Xiaoyu DANG, Wen WU

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

53 Citations (Scopus)

Abstract

Integrated sensing and communication (ISAC) can provide efficient usage for both spectrum and hardware resources. A critical challenge, however, is to design the dual-functional waveform for simultaneous radar sensing and communication. In this paper, we propose a sparse vector coding-based ISAC (SVC-ISAC) waveform to simultaneously provide low sidelobes for radar sensing and ultra reliability for communication transmission. The key idea of the proposed waveform is to embed the communication information into the support of one sparse vector and transmit a low-dimensional signal via the spreading codebook. We derive a closed-form expression of the ambiguity function for the proposed SVC-ISAC waveform, and prove that it exhibits low sidelobes in the delay and Doppler domains, regardless of the distribution of the transmitted bit stream. In addition, the information decoding at the communication receiver is solved through the support identification and sparse demapping. Simulation results demonstrate that the proposed waveform improves the reliability while consistently suppressing the sidelobe levels.
Original languageEnglish
Pages (from-to)4489-4494
Number of pages6
JournalIEEE Transactions on Vehicular Technology
Volume71
Issue number4
Early online date27 Jan 2022
DOIs
Publication statusPublished - Apr 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 1967-2012 IEEE.

Funding

This work was supported in part by the Natural Science Foundation of Jiangsu Province under Grant BK20210335, in part by the National Natural Science Foundation ofChina underGrants 62031017, 61971221, and 62101232, in part by the MSIT (Ministry of Science and ICT), Korea, through the ITRC support program under Grant IITP-2021-0-02048, and in part by the NRF Grant funded by MSIP under Grant 2020R1A2C210198

Keywords

  • ambiguity function
  • Integrated sensing and communication
  • sparse vector coding
  • ultra reliability
  • waveform design

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