Cramér-Rao Bound Optimization for STAR-RIS Enabled ISAC System

Yichao Peng, Tingting Zhang, Rongkun Jiang*, Liming Wang

*Corresponding author for this work

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

Abstract

We consider a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) enabled integrated sensing and communication (ISAC) system. The whole space is divided into sensing and communication subspaces by the STAR-RIS. The Cramér-Rao bound (CRB) for the estimation of the direction of arrival (DoA) of the radar echo is derived. By simultaneously optimizing the transmit beamforming at the base station and the reflection and transmission vectors of the STAR-RIS, a CRB minimization problem is formulated while the minimal signal-to-interference-plus-noise ratio (SINR) at the communication user equipment is used as a constraint. In this context, the original problem is decomposed using an alternating optimization (AO) algorithm, and two subproblems are alternately optimized using the semi-definite relaxation (SDR) and successive convex approximation (SCA) techniques until the final solution converges. Finally, simulation results confirm the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331515669
DOIs
Publication statusPublished - 2024
Event2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, China
Duration: 22 Nov 202424 Nov 2024

Publication series

NameIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

Conference

Conference2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Country/TerritoryChina
CityZhuhai
Period22/11/2424/11/24

Keywords

  • Cramér-Rao bound
  • Integrated sensing and communication (ISAC)
  • STAR-RIS

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Peng, Y., Zhang, T., Jiang, R., & Wang, L. (2024). Cramér-Rao Bound Optimization for STAR-RIS Enabled ISAC System. In IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIDP62679.2024.10868648