You, Y, Zhang, L and Liu, M (2019) IP Aided OMP Based Channel Estimation for Millimeter Wave Massive MIMO Communication. In: Proceedings of IEEE Wireless Communications and Networking Conference (WCNC 2019). IEEE Wireless Communications and Networking Conference (WCNC 2019), 15-18 Apr 2019, Marrakesh, Morocco. IEEE ISBN 978-1-5386-7646-2
Abstract
Adoption of hybrid precoding is the key element of reducing the hardware cost of radio-frequency compared with the conventional full-digital precoding approach in millimeter wave (mmWave) MIMO systems. For hybrid precoding, channel state information (CSI) is needed. However, the use of analog precoding in hybrid architecture and the large antenna array make channel estimation difficult for mmWave system. It has been shown that mmWave channels exhibit sparsity, thus compressive sensing (CS) techniques can be leveraged to conduct channel estimation. Conventional CS based channel estimation methods for mmWave MIMO are based on quantized angle grid. However, the performance would be severely affected by off grid angles which can not be improved by increasing the resolution because this will increase the coherence between the grid points. In this paper, we propose an Interior Point (IP) aided orthogonal matching pursuit (OMP) algorithm. It significantly improves the channel estimation accuracy by reducing the estimation error of angle-of-departure (AoD) and angle-of-arrival (AoA). The simulation results demonstrate the advantage of the proposed IP-OMP over the existing methods such as least squares and the conventional OMP.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 019 IEEE. This is an author produced version of a paper published in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC 2019). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Channel estimation; Radio frequency; Receivers; Matching pursuit algorithms; MIMO communication; Millimeter wave communication; Training |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Feb 2019 09:41 |
Last Modified: | 19 Dec 2019 15:44 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/WCNC.2019.8885881 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:142274 |