The University of Southampton
University of Southampton Institutional Repository

Harmonic retrieval based baseband channel estimation for millimeter wave OFDM systems

Harmonic retrieval based baseband channel estimation for millimeter wave OFDM systems
Harmonic retrieval based baseband channel estimation for millimeter wave OFDM systems
For massive multi-input multi-output (MIMO) enhanced millimeter wave (mmWave) frequency-division multiplexing (OFDM) systems, channel estimation (CE) is challenging. in this paper, the baseband CE of mmWave based MIMO-OFDM systems after beam searching is formulated as a harmonic retrieval (HR) problem, where each path of the channel represents a harmonic with its frequency and strength to be estimated.We propose two methods, a windowed orthogonal matching pursuit (window-OMP) method and a windowed discrete Fourier transform (window-DFT) method, to approximately acquire the maximum likelihood (ML) estimate of the baseband CE. The window-OMP method is capable of approximating the ML estimator with high accuracy, while the window-DFT method has a lower complexity and is shown to acquire approximate ML estimate under the assumption that the frequencies of harmonics are sufficiently separated. Theoretical analysis is performed to derive a closed-form Cram´er–Rao lower bound as well as to investigate the effect of wrong paths to the estimation accuracy. A simulation study is conducted to investigate the performance of the proposed methods, and the results obtained verify that our methods outperform the existing estimation of signal parameters by rotational invariant techniques based HR method and the conventional interpolation method.
0018-9545
2668-2681
Sha, Ziyuan
9396657c-6b41-4b99-b51d-ade54e59b60e
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Sha, Ziyuan
9396657c-6b41-4b99-b51d-ade54e59b60e
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Sha, Ziyuan, Wang, Zhaocheng and Chen, Sheng (2019) Harmonic retrieval based baseband channel estimation for millimeter wave OFDM systems. IEEE Transactions on Vehicular Technology, 68 (3), 2668-2681. (doi:10.1109/TVT.2019.2895611).

Record type: Article

Abstract

For massive multi-input multi-output (MIMO) enhanced millimeter wave (mmWave) frequency-division multiplexing (OFDM) systems, channel estimation (CE) is challenging. in this paper, the baseband CE of mmWave based MIMO-OFDM systems after beam searching is formulated as a harmonic retrieval (HR) problem, where each path of the channel represents a harmonic with its frequency and strength to be estimated.We propose two methods, a windowed orthogonal matching pursuit (window-OMP) method and a windowed discrete Fourier transform (window-DFT) method, to approximately acquire the maximum likelihood (ML) estimate of the baseband CE. The window-OMP method is capable of approximating the ML estimator with high accuracy, while the window-DFT method has a lower complexity and is shown to acquire approximate ML estimate under the assumption that the frequencies of harmonics are sufficiently separated. Theoretical analysis is performed to derive a closed-form Cram´er–Rao lower bound as well as to investigate the effect of wrong paths to the estimation accuracy. A simulation study is conducted to investigate the performance of the proposed methods, and the results obtained verify that our methods outperform the existing estimation of signal parameters by rotational invariant techniques based HR method and the conventional interpolation method.

Text
cemmWTVT2019 - Accepted Manuscript
Download (3MB)
Text
TVT2019-3 - Version of Record
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 23 January 2019
e-pub ahead of print date: 28 January 2019
Published date: 14 March 2019

Identifiers

Local EPrints ID: 429260
URI: http://eprints.soton.ac.uk/id/eprint/429260
ISSN: 0018-9545
PURE UUID: f805b228-9cc2-40d1-9f08-5332cc2b7701

Catalogue record

Date deposited: 25 Mar 2019 17:30
Last modified: 06 Oct 2020 21:51

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×