PCA based channel estimation for IRS-aided MIMO systems

Yize Tang; Hongzhen Yang; Lanxin Qiu; Yangzhou Xu; Rui Yin; Jiantao Yuan

doi:10.1117/12.2685658

28 July 2023 PCA based channel estimation for IRS-aided MIMO systems

Yize Tang, Hongzhen Yang, Lanxin Qiu, Yangzhou Xu, Rui Yin, Jiantao Yuan

Proceedings Volume 12716, Third International Conference on Digital Signal and Computer Communications (DSCC 2023); 1271604 (2023) https://doi.org/10.1117/12.2685658
Event: Third International Conference on Digital Signal and Computer Communications (DSCC 2023), 2023, Xi'an, China

Abstract

In this paper, a staged channel estimation and reflection coefficient design method is proposed for the Intelligent Reflecting Surface (IRS) aided multiple-input and multiple-output (MIMO) systems. To achieve the channel state information (CSI) estimation between the IRS and the base staion (BS), the IRS and the user, the user and the BS, a principle component analysis (PCA) based scheme is proposed. Based on the estimated channel, a DNN network is proposed to realize low-complexity IRS reflection coefficient estimation, which effectively improves the signal-to-noise ratio (SNR) at the user side. Simulation results for IRS-aided MIMO systems are provided to verify the accuracy of the proposed schemes on the channel estimation.

Citation Download Citation

Yize Tang, Hongzhen Yang, Lanxin Qiu, Yangzhou Xu, Rui Yin, and Jiantao Yuan "PCA based channel estimation for IRS-aided MIMO systems", Proc. SPIE 12716, Third International Conference on Digital Signal and Computer Communications (DSCC 2023), 1271604 (28 July 2023); https://doi.org/10.1117/12.2685658

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