@inproceedings{d35cf3cad80a4475b7817b206c486134,
title = "A TTSVD-Enhanced Fast and Accurate Channel Estimation Method for Dual-Polarized Massive MIMO Systems",
abstract = "This paper aims to perform fast and accurate downlink channel estimation for dual-polarized massive multiple-input multiple-output (MIMO) systems. Considering that both ends of the link are equipped with antenna arrays, the double directional channel matrix can be represented by a higherorder tensor. Based on the low-rankness of channel tensor due to the sparse scattering nature, we propose an ESPRIT-like channel estimation method enhanced by tensor train singular value decomposition (TTSVD). The proposed estimation method is characterized by (a) small estimation errors, which benefits from employing TTSVD to reduce noise in the channel tensor; and (b) fast computational speed, which exploits Vandermonde structure of signal subspace without multiple iterations. Simulated experiments in a 5G millimeter wave scenario show the superior estimation performance of the proposed method both on accuracy and speed. It is worth noting that the proposed method is at least 12 times faster than the state-of-The-Art.",
keywords = "channel estimation, Dual-polarized massive MIMO, tensor",
author = "Xiao Gong and Wei Chen and Xuying Chen and Jie Chen and Bo Ai",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021 ; Conference date: 17-08-2021 Through 19-08-2021",
year = "2021",
month = aug,
day = "17",
doi = "10.1109/ICSPCC52875.2021.9564799",
language = "英语",
series = "Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of 2021 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2021",
}