The University of Southampton
University of Southampton Institutional Repository

Priori-information aided iterative hard threshold: a low-complexity high-accuracy compressive sensing based channel estimation for TDS-OFDM

Priori-information aided iterative hard threshold: a low-complexity high-accuracy compressive sensing based channel estimation for TDS-OFDM
Priori-information aided iterative hard threshold: a low-complexity high-accuracy compressive sensing based channel estimation for TDS-OFDM
This paper develops a low-complexity channel estimation (CE) scheme based on compressive sensing (CS) for time-domain synchronous (TDS) orthogonal frequency-division multiplexing (OFDM) to overcome the performance loss under doubly selective fading channels. Specifically, an overlap-add method of the time-domain training sequence is first proposed to obtain the coarse estimates of the channel length, path delays and path gains of the wireless channel, by exploiting the channel's temporal correlation to improve the robustness of the coarse CE under the severe fading channel with long delay spread. We then propose the priori-information aided (PA) iterative hard threshold (IHT) algorithm, which utilizes the priori information of the acquired coarse estimate for the wireless channel and therefore is capable of obtaining an accurate channel estimate of the doubly selective fading channel. Compared with the classical IHT algorithm whose convergence requires the $l_2$ norm of the measurement matrix being less than 1, the proposed PA-IHT algorithm exploits the priori information acquired to remove such a limitation as well as to reduce the number of required iterations. Compared with the existing CS based CE method for TDS-OFDM, the proposed PA-IHT algorithm significantly reduces the computational complexity of CE as well as enhances the CE accuracy. Simulation results demonstrate that, without sacrificing spectral efficiency and changing the current TDS-OFDM signal structure, the proposed scheme performs better than the existing CE schemes for TDS-OFDM in various scenarios, especially under severely doubly selective fading channels.
orthogonal frequency division (ofdm), digital terrestrial television broadcasting, time-domain synchronous ofdm, compressive sensing, channel estimation
242-251
Gao, Zhen
e0ab17e4-5297-4334-8b64-87924feb7876
Zhang, Chao
275a6acd-9b7c-4c10-b894-2085af9ecd7c
Wang, Zhaocheng
a6bc4037-d26d-4ddd-9ce5-f018980115b6
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Gao, Zhen
e0ab17e4-5297-4334-8b64-87924feb7876
Zhang, Chao
275a6acd-9b7c-4c10-b894-2085af9ecd7c
Wang, Zhaocheng
a6bc4037-d26d-4ddd-9ce5-f018980115b6
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Gao, Zhen, Zhang, Chao, Wang, Zhaocheng and Chen, Sheng (2015) Priori-information aided iterative hard threshold: a low-complexity high-accuracy compressive sensing based channel estimation for TDS-OFDM. IEEE Transactions on Wireless Communications, 14 (1), 242-251. (doi:10.1109/TWC.2014.2339330).

Record type: Article

Abstract

This paper develops a low-complexity channel estimation (CE) scheme based on compressive sensing (CS) for time-domain synchronous (TDS) orthogonal frequency-division multiplexing (OFDM) to overcome the performance loss under doubly selective fading channels. Specifically, an overlap-add method of the time-domain training sequence is first proposed to obtain the coarse estimates of the channel length, path delays and path gains of the wireless channel, by exploiting the channel's temporal correlation to improve the robustness of the coarse CE under the severe fading channel with long delay spread. We then propose the priori-information aided (PA) iterative hard threshold (IHT) algorithm, which utilizes the priori information of the acquired coarse estimate for the wireless channel and therefore is capable of obtaining an accurate channel estimate of the doubly selective fading channel. Compared with the classical IHT algorithm whose convergence requires the $l_2$ norm of the measurement matrix being less than 1, the proposed PA-IHT algorithm exploits the priori information acquired to remove such a limitation as well as to reduce the number of required iterations. Compared with the existing CS based CE method for TDS-OFDM, the proposed PA-IHT algorithm significantly reduces the computational complexity of CE as well as enhances the CE accuracy. Simulation results demonstrate that, without sacrificing spectral efficiency and changing the current TDS-OFDM signal structure, the proposed scheme performs better than the existing CE schemes for TDS-OFDM in various scenarios, especially under severely doubly selective fading channels.

PDF
TWC2015-Jan-2.pdf - Version of Record
Restricted to Repository staff only
Request a copy

More information

Published date: January 2015
Keywords: orthogonal frequency division (ofdm), digital terrestrial television broadcasting, time-domain synchronous ofdm, compressive sensing, channel estimation
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 373203
URI: https://eprints.soton.ac.uk/id/eprint/373203
PURE UUID: 4e5d8020-ac64-49d0-9a92-75b76c09c32e

Catalogue record

Date deposited: 12 Jan 2015 13:22
Last modified: 17 Jul 2017 21:35

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 https://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.

×