The University of Southampton
University of Southampton Institutional Repository

Decision-Directed Channel Estimation for Multi-User OFDM Environments

Decision-Directed Channel Estimation for Multi-User OFDM Environments
Decision-Directed Channel Estimation for Multi-User OFDM Environments
Multiple reception antenna assisted Space Division Multiple Access (SDMA) techniques designed for wireless OFDM systems have recently drawn wide interests. These techniques facilitate the implementation of effective multi-user detection algorithms at the receiver, such as Minimum Mean-Square Error (MMSE) detection, Successive Interference Cancellation (SIC), Parallel Interference Cancellation (PIC) or Maximum Likelihood (ML) detection. A pre-requisite of their operation is the availability of an estimate of the channel's frequency domain transfer function. Decision-directed channel estimation was analysed by Li et al. in the context of a space-time coded single-user arrangement employing two transmit and two receive antennas. This estimation scheme is also applicable to a multi-user scenario, where each user is equipped with a single transmit antenna. The contribution presented here proposes an enhanced decision-directed channel estimator, which removes the Mean-Square Channel Estimation Error (MSE) floor of Li's estimator.
2417-2420
Münster, M.
c7bbba92-827f-4a77-bdc2-fbed67caab36
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Münster, M.
c7bbba92-827f-4a77-bdc2-fbed67caab36
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Münster, M. and Hanzo, L. (2001) Decision-Directed Channel Estimation for Multi-User OFDM Environments. VTC'2001 (Spring), , Rhodes, Greece. 06 - 09 May 2001. pp. 2417-2420 .

Record type: Conference or Workshop Item (Paper)

Abstract

Multiple reception antenna assisted Space Division Multiple Access (SDMA) techniques designed for wireless OFDM systems have recently drawn wide interests. These techniques facilitate the implementation of effective multi-user detection algorithms at the receiver, such as Minimum Mean-Square Error (MMSE) detection, Successive Interference Cancellation (SIC), Parallel Interference Cancellation (PIC) or Maximum Likelihood (ML) detection. A pre-requisite of their operation is the availability of an estimate of the channel's frequency domain transfer function. Decision-directed channel estimation was analysed by Li et al. in the context of a space-time coded single-user arrangement employing two transmit and two receive antennas. This estimation scheme is also applicable to a multi-user scenario, where each user is equipped with a single transmit antenna. The contribution presented here proposes an enhanced decision-directed channel estimator, which removes the Mean-Square Channel Estimation Error (MSE) floor of Li's estimator.

Text
mm-lh-May01-VTCspring01.pdf - Other
Download (405kB)

More information

Published date: 2001
Additional Information: Event Dates: 6-9 May 2001
Venue - Dates: VTC'2001 (Spring), , Rhodes, Greece, 2001-05-06 - 2001-05-09
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 257140
URI: http://eprints.soton.ac.uk/id/eprint/257140
PURE UUID: 246d5544-3702-4673-875c-9e27af8e876a
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 06 Jan 2004
Last modified: 18 Mar 2024 02:33

Export record

Contributors

Author: M. Münster
Author: L. Hanzo ORCID iD

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.

×