Work

A Robust Beamforming for Intergretd Sensing and Communications Systems

Year: 2024

Type: conference-paper

Abstract: We propose a robust beamforming design methodology for integrated sensing and communications beamforms. The beamforming design aims to address channel uncertainties in the communication system by optimizing the sensing beamform. Assuming the Channel State Information (CSI) error is elliptically bounded, we investigate the robust integrated sensing and communication (ISAC) beamforming design problem, focusing on minimizing the Cramér-Rao bound (CRB) under a signal-to-noise ratio (SINR) threshold constraint. The problem is addressed through distributed optimization using the S-procedure and solved with the SDR method. Simulation results verify the effectiveness of the proposed CRB_min method.

Source: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking

DOI: 10.1145/3636534.3698222

Authors: Zexuan Jing, Yuanhao Cui, Furong Chai, Junsheng Mu, Le Zheng, Zhiqi Huang

Institutions: Beijing University of Posts and Telecommunications, Beijing Institute of Technology

Language: English

Topic: Radar Systems and Signal Processing

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4405014292

FWCI:

Cites: 14

Cited by:

Related to: 10