Joint Antenna Selection and Transmit Beamforming for Dual-Function Radar-Communication Systems

Fangzhou Wang, A. Lee Swindlehurst, Hongbin Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Dual-function radar-communication (DFRC) design is a promising approach for solving the challenging spectrum congestion problem. This paper considers joint antenna selection and digital beamforming design for a DFRC system that serves multiple multicast communication groups and, meanwhile, performs sensing. The dual-function transmit design is cast as maximizing the minimum target illumination power in multiple target directions by jointly selecting the antennas and designing the beamformers subject to a lower bound on the signal-to-interference-plus-noise ratio (SINR) for the communication users and an upper bound on the clutter power at each clutter scatterer. The resulting optimization formulation is a mixed integer programming problem that is solved with a penalized sequential convex relaxation scheme along with semidefinite relaxation (SDR). Numerical results verify the effectiveness of the proposed DFRC scheme and the associated algorithm.

Original languageEnglish
Title of host publicationRadarConf23 - 2023 IEEE Radar Conference, Proceedings
ISBN (Electronic)9781665436694
DOIs
StatePublished - 2023
Event2023 IEEE Radar Conference, RadarConf23 - San Antonia, United States
Duration: 1 May 20235 May 2023

Publication series

NameProceedings of the IEEE Radar Conference
Volume2023-May
ISSN (Print)1097-5764
ISSN (Electronic)2375-5318

Conference

Conference2023 IEEE Radar Conference, RadarConf23
Country/TerritoryUnited States
CitySan Antonia
Period1/05/235/05/23

Keywords

  • Dual-function radar and communication (DFRC)
  • antenna selection
  • digital beamforming

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