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CLC number: TN828.6

On-line Access: 2017-06-30

Received: 2017-01-09

Revision Accepted: 2017-04-20

Crosschecked: 2017-06-09

Cited: 1

Clicked: 1426

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Ze-song Fei

http://orcid.org/0000-0002-7576-625X

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Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.6 P.841-849

http://doi.org/10.1631/FITEE.1700025


Joint DOA and channel estimation with data detection based on 2D unitary ESPRIT in massive MIMO systems


Author(s):  Jing-ming Kuang, Yuan Zhou, Ze-song Fei

Affiliation(s):  School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

Corresponding email(s):   jmkuang@bit.edu.cn, zhouyuanbit@163.com, feizesong@bit.edu.cn

Key Words:  Two-dimensional (2D) direction-of-arrival (DOA) estimation, Channel impulse response estimation, Data detection, Uniform rectangular array (URA), Massive multiple-input multiple-output (MIMO)


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.

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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.

大规模天线阵列中基于二维酉ESPRIT算法的波达角和信道联合估计以及信号检测技术

概要:针对大规模均匀矩形阵列提出了一种新型二维波达角和信道联合估计技术以及信号检测技术。传统波达角估计技术都建立在信道冲击响应已知的前提下,然而,在大规模天线系统中,信道估计非常具有挑战性。首先利用训练序列估计出用户与天线之间的联合信道冲击响应,然后利用该估计值基于酉ESPRIT算法获得二维角度估计,接下来可以获得不同路径的定向信道冲击响应估计。所提估计算法可以获得闭式解,避免了搜索和配对过程。与此同时,提出了一种简化的信号检测过程,该过程可以降低矩阵求逆的维度,从而降低检测复杂度。对多种情况进行了仿真验证,仿真结果证明了所提算法的有效性。

关键词:二维波达角估计;信道冲击响应估计;信号检测;均匀矩形阵列;大规模天线

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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