CLC number: TN828.6
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2017-06-09
Cited: 1
Clicked: 7327
Jing-ming Kuang, Yuan Zhou, Ze-song Fei. Joint DOA and channel estimation with data detection based on 2D unitary ESPRIT in massive MIMO systems[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(6): 841-849.
@article{title="Joint DOA and channel estimation with data detection based on 2D unitary ESPRIT in massive MIMO systems",
author="Jing-ming Kuang, Yuan Zhou, Ze-song Fei",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="18",
number="6",
pages="841-849",
year="2017",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1700025"
}
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%T Joint DOA and channel estimation with data detection based on 2D unitary ESPRIT in massive MIMO systems
%A Jing-ming Kuang
%A Yuan Zhou
%A Ze-song Fei
%J Frontiers of Information Technology & Electronic Engineering
%V 18
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%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1700025
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T1 - Joint DOA and channel estimation with data detection based on 2D unitary ESPRIT in massive MIMO systems
A1 - Jing-ming Kuang
A1 - Yuan Zhou
A1 - Ze-song Fei
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 18
IS - 6
SP - 841
EP - 849
%@ 2095-9184
Y1 - 2017
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1700025
Abstract: We propose a novel method for joint two-dimensional (2D) direction-of-arrival (DOA) and channel estimation with data detection for uniform rectangular arrays (URAs) for the massive multiple-input multiple-output (MIMO) systems. The conventional DOA estimation algorithms usually assume that the channel impulse responses are known exactly. However, the large number of antennas in a massive MIMO system can lead to a challenge in estimating accurate corresponding channel impulse responses. In contrast, a joint DOA and channel estimation scheme is proposed, which first estimates the channel impulse responses for the links between the transmitters and antenna elements using training sequences. After that, the DOAs of the waves are estimated based on a unitary ESPRIT algorithm using previous channel impulse response estimates instead of accurate channel impulse responses and then, the enhanced channel impulse response estimates can be obtained. The proposed estimator enjoys closed-form expressions, and thus it bypasses the search and pairing processes. In addition, a low-complexity approach toward data detection is presented by reducing the dimension of the inversion matrix in massive MIMO systems. Different cases for the proposed method are analyzed by changing the number of antennas. Experimental results demonstrate the validity of the proposed method.
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