Work

Inverse Scattering Approach to Integration of Communication and Sensing

Year: 2025

Type: article

Abstract: The development of microwave technology leads to the integration of sensing and communication, i.e., ISAC, with the benefits of resource sharing and co-design. Since sensing passive targets is physically a scattering process, ISAC can be tackled by solving inverse scattering problems (ISPs). This review focuses on ISPs based on orthogonal frequency division multiplexing (OFDM), i.e., communication-centric ISAC. It starts with the introduction of the forward problem, which serves as a foundation for solving ISPs. Moreover, we provide a classification of existing ISAC works based on hardware complexity, algorithmic design, and application scenarios. The requirements, principles, and performance of imaging algorithms are then discussed. Existing ISAC imaging methods primarily focus on conventional approaches. However, the ISPs field has accumulated extensive experience in imaging. Therefore, transferring the well-established techniques from ISPs to the ISAC domain is of great significance. To this end, we propose two methods that adapt ISPs approaches for ISAC imaging: beam-steering learning method and wavenumber domain learning method, which illustrate the potential of integrating ISPs methodologies into ISAC frameworks.

Source: IEEE Journal of Selected Topics in Electromagnetics Antennas and Propagation

DOI: 10.1109/jsteap.2025.3605131

Authors: Lue Wen, Siyuan Zhao, Tiantian Yin, Yongxin Guo, Xudong Chen

Institutions: National University of Singapore, City University of Hong Kong

Language: English

Topic: Microwave Imaging and Scattering Analysis

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Funders: City University of Hong Kong, National University of Singapore

Awards: G1607160208, G2194055528, G3501155420