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

Jing-ming KUANG; Yuan ZHOU; Ze-song FEI

doi:10.1631/FITEE.1700025

Your Location：

Home >

Browse articles >

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

Special Issue on 5G Wireless Communication Systems and Technologies | Updated：2022-05-19

- Joint DOA and channel estimation with data detection based on 2D unitary ESPRIT in massive MIMO systems
- 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
- Frontiers of Information Technology & Electronic Engineering Vol. 18, Issue 6, Pages: 841-849(2017)
- Affiliations：
  
  School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
- Author bio：
  
  [ "Jing-ming KUANG, jmkuang@bit.edu.cn" ]
  FEI Ze-song, E-mail:feizesong@bit.edu.cn
- Funds：
- DOI：10.1631/FITEE.1700025
  CLC： TN828.6
- Received：09 January 2017，
  
  Revised：2017-;6-;9，
  
  Published：2017-06
- Accepted：
Scan QR Code
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.
DOI：

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. DOI： 10.1631/FITEE.1700025.

摘要

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。

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 closedform 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.

关键词

Keywords

references

D. Alibi , , , U. Javed , , , F. Wen , , , 等 . . 2D DOA estimation method based on channel state information for uniform circular array . . 4th Int. Conf. on Ubiquitous Positioning, Indoor Navigation and Location Based Services , , 2016 . . p.68 - - 72 . . DOI: 10.1109/UPINLBS.2016.7809952 http://doi.org/10.1109/UPINLBS.2016.7809952 . .

A. Barabell . . Improving the resolution performance of eigenstructure-based direction finding algorithm . . IEEE Int. Conf. on Acoustics, Speech, and Signal Processing , , 1983 . . p.336 - - 339 . . DOI: 10.1109/ICASSP.1983.1172124 http://doi.org/10.1109/ICASSP.1983.1172124 . .

J.J. Blanz , , , A. Papathanassiou , , , M. Haardt , , , 等 . . Smart antennas for combined DOA and joint channel estimation in time-slotted CDMA mobile radio systems with joint detection . . IEEE Trans. Veh. Technol. , , 2000 . . 49 ( ( 2 ): ): 293 - - 306 . . DOI: 10.1109/25.832962 http://doi.org/10.1109/25.832962 . .

J. Capon . . Maximum-likelihood spectral estimation. In: Haykin, S. (Ed.), Nonlinear Methods of Spectral Analysis . . Springer Berlin Heidelberg , , 1983 . . p.155 - - 179 . . DOI: 10.1007/3-540-12386-5_12 http://doi.org/10.1007/3-540-12386-5_12 . .

A.A. D'Amico , , , M. Morelli . . Joint channel and DOA estimation for multicarrier CDMA uplink transmissions . . IEEE Trans. Veh. Technol. , , 2009 . . 58 ( ( 1 ): ): 116 - - 125 . . DOI: 10.1109/TVT.2008.921624 http://doi.org/10.1109/TVT.2008.921624 . .

A.A. D'Amico , , , U. Mengali , , , M. Morelli . . DOA and channel parameter estimation for wideband CDMA systems . . IEEE Trans. Wirel. Commun. , , 2004 . . 3 ( ( 6 ): ): 1942 - - 1947 . . DOI: 10.1109/TWC.2004.837446 http://doi.org/10.1109/TWC.2004.837446 . .

M. Haardt , , , J.A. Nossek . . Unitary ESPRIT: how to obtain increased estimation accuracy with a reduced computational burden . . IEEE Trans. Signal Process. , , 1995 . . 43 ( ( 5 ): ): 1232 - - 1242 . . DOI: 10.1109/78.382406 http://doi.org/10.1109/78.382406 . .

A. Hu , , , T. Lv , , , H. Gao , , , 等 . . An ESPRIT-based approach for 2-D localization of incoherently distributed sources in massive MIMO systems . . IEEE J. Sel. Topics Signal Process. , , 2014 . . 8 ( ( 5 ): ): 996 - - 1011 . . DOI: 10.1109/JSTSP.2014.2313409 http://doi.org/10.1109/JSTSP.2014.2313409 . .

X. Lan , , , Y. Li , , , E. Wang . . A RARE algorithm for 2D DOA estimation based on nested array in massive MIMO system . . IEEE Access , , 2016 . . 4 3806 - - 3814 . . DOI: 10.1109/ACCESS.2016.2583458 http://doi.org/10.1109/ACCESS.2016.2583458 . .

E.G. Larsson , , , O. Edfors , , , F. Tufvesson , , , 等 . . Massive MIMO for next generation wireless systems . . IEEE Commun. Mag. , , 2014 . . 52 ( ( 2 ): ): 186 - - 195 . . DOI: 10.1109/MCOM.2014.6736761 http://doi.org/10.1109/MCOM.2014.6736761 . .

L. Liu , , , Y. Li , , , J. Zhang . . DoA estimation and achievable rate analysis for 3D millimeter wave massive MIMO systems . . IEEE 15th Int. Workshop on Signal Processing Advances in Wireless Communications , , 2014 . . p.6 - - 10 . . DOI: 10.1109/SPAWC.2014.6941306 http://doi.org/10.1109/SPAWC.2014.6941306 . .

T.L. Marzetta . . Noncooperative cellular wireless with unlimited numbers of base station antennas . . IEEE Trans. Wirel. Commun. , , 2010 . . 9 ( ( 11 ): ): 3590 - - 3600 . . DOI: 10.1109/TWC.2010.092810.091092 http://doi.org/10.1109/TWC.2010.092810.091092 . .

R. Roy , , , T. Kailath . . ESPRIT-estimation of signal parameters via rotational invariance techniques . . IEEE Trans. Acoust. Speech Signal Process. , , 1989 . . 37 ( ( 7 ): ): 984 - - 995 . . DOI: 10.1109/29.32276 http://doi.org/10.1109/29.32276 . .

F. Rusek , , , D. Persson , , , B.K. Lau , , , 等 . . Scaling up MIMO: opportunities and challenges with very large arrays . . IEEE Signal Process. Mag. , , 2013 . . 30 ( ( 1 ): ): 40 - - 60 . . DOI: 10.1109/MSP.2011.2178495 http://doi.org/10.1109/MSP.2011.2178495 . .

R. Schmidt . . Multiple emitter location and signal parameter estimation . . IEEE Trans. Antennas Propag. , , 1986 . . 34 ( ( 3 ): ): 276 - - 280 . . DOI: 10.1109/TAP.1986.1143830 http://doi.org/10.1109/TAP.1986.1143830 . .

A. Wang , , , L. Liu , , , J. Zhang . . Low complexity direction of arrival (DoA) estimation for 2D massive MIMO systems . . IEEE GLOBECOM Workshops , , 2012 . . p.703 - - 707 . . DOI: 10.1109/GLOCOMW.2012.6477660 http://doi.org/10.1109/GLOCOMW.2012.6477660 . .

T. Wang , , , B. Ai , , , R. He , , , 等 . . Two-dimension direction-of-arrival estimation for massive MIMO systems . . IEEE Access , , 2015 . . 3 2122 - - 2128 . . DOI: 10.1109/ACCESS.2015.2496944 http://doi.org/10.1109/ACCESS.2015.2496944 . .

K. Yang , , , J. Wu , , , W. Li . . A low-complexity directionof-arrival estimation algorithm for full-dimension massive MIMO systems . . IEEE Int. Conf. on Communication Systems , , 2014 . . p.472 - - 476 . . DOI: 10.1109/ICCS.2014.7024848 http://doi.org/10.1109/ICCS.2014.7024848 . .

R. Zhang , , , S. Wang , , , Z. Zhong , , , 等 . . Multipath DOA estimation by rotational invariance on array channel impulse response . . IEEE Antennas Wirel. Propag. Lett. , , 2015 . . 15 964 - - 967 . . DOI: 10.1109/LAWP.2015.2486624 http://doi.org/10.1109/LAWP.2015.2486624 . .

Y. Zhu , , , L. Liu , , , A. Wang , , , 等 . . DoA estimation and capacity analysis for 2D active massive MIMO systems . . IEEE Int. Conf. on Communications , , 2013 . . p.4630 - - 4634 . . DOI: 10.1109/ICC.2013.6655301 http://doi.org/10.1109/ICC.2013.6655301 . .

M.D. Zoltowski , , , M. Haardt , , , C.P. Mathews . . Closedform 2-D angle estimation with rectangular arrays in element space or beamspace via unitary ESPRIT . . IEEE Trans. Signal Process. , , 1996 . . 44 ( ( 2 ): ): 316 - - 328 . . DOI: 10.1109/78.485927 http://doi.org/10.1109/78.485927 . .

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

Chat

Address：Zhejiang University Press, 148 Tianmushan Road, Hangzhou, China Postal code：310028
Tel：+86-571-88273162 Email：fitee@zju.edu.cn
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰