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Joint Transmit and Receive Beamforming Design for Integrated Sensing and Communication

  • Beihang University
  • Tsinghua University

Research output: Contribution to journalArticlepeer-review

Abstract

We consider the problem of the joint design of transmit and receive beamforming (TRBF) vectors for integrated sensing and communication systems in the signal-dependent interference scenario. The dual-functional base station can communicate with downlink users and detect targets simultaneously. By adopting the signal-to-interference-plus-noise ratio (SINR) as performance metrics for both radar and communication, we propose the joint design of the TRBF strategy to manifest the balance of radar and communication in both perfect and imperfect channel state information scenarios. Meanwhile, the upper bound performance of the SINR for target detection is analyzed. Numerical results show the SINR trade-offs between target detection and user communication.

Original languageEnglish
Pages (from-to)662-666
Number of pages5
JournalIEEE Communications Letters
Volume26
Issue number3
DOIs
StatePublished - 1 Mar 2022

Keywords

  • Alternating optimization
  • Beamforming design
  • Integrated sensing and communication
  • MIMO radar

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