Due to the utilization of large antenna arrays at base stations (BSs) and the operations of wireless communications in high frequency bands, mobile terminals often find themselves in the near-field of the array aperture. In this work, we address the signal processing challenges of integrated near-field localization and communication in uplink transmission of an integrated sensing and communication (ISAC) system, where the BS performs joint near-field localization and signal detection (JNFLSD). We show that JNFLSD can be formulated as a matrix factorization (MF) problem with proper structures imposed on the factor matrices. Then, leveraging the variational inference (VI) and unitary approximate message passing (UAMP), we develop a low complexity Bayesian approach to MF, called UAMP-MF, to handle a generic MF problem. We then apply the UAMP-MF algorithm to solve the JNFLSD problem, where the factor matrix structures are fully exploited. Extensive simulation results are provided to demonstrate the superior performance of the proposed method.
@article{arxiv.2406.07272,
title = {Integrated Near Field Sensing and Communications Using Unitary Approximate Message Passing Based Matrix Factorization},
author = {Zhengdao Yuan and Qinghua Guo and Yonina C. Eldar and Yonghui Li},
journal= {arXiv preprint arXiv:2406.07272},
year = {2024}
}
Comments
13 pages, 10 figures. arXiv admin note: text overlap with arXiv:2208.00422