Work

Bayesian Beamforming for Integrated Sensing and Communication Systems

Year: 2025

Type: conference-paper

Abstract: The uncertainty of the sensing target brings great challenge to the beamforming design of the integrated sensing and communication (ISAC) system. To address this issue, we model the scattering coefficient and azimuth angle of the target as random variables and introduce a novel metric, expected detection probability (EPd), to quantify the average detection performance from a Bayesian perspective. Furthermore, we design a Bayesian beamforming scheme to optimize the expected detection probability under the limited power budget and communication performance constraints. A successive convex approximation and semidefinite relaxation based (SCA-SDR) algorithm is developed for the complicated non-convex optimization problem corresponding to the beamforming scheme. Simulation results show that the proposed scheme outperforms other benchmarks and exhibits robust detection performance when parameters of the target are unknown and random.

Source: IEEE International Conference on Communications workshops

DOI: 10.1109/iccworkshops67674.2025.11162332

Authors: Zongyao Zhao, Zhenyu Liu, Wei Dai, Xinke Tang, Xiao-Ping Zhang, Yuhan Dong

Institutions: Tsinghua Shenzhen International Graduate School, Tsinghua University, Imperial College London, Peng Cheng Laboratory

Language: English

Topic: Radar Systems and Signal Processing

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: Yuhan, National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G5365930406, G6378307915