Forward and backward RLS-DDCE processing in MIMO-OFDM spatial multiplexing receivers

In this paper we present a novel approach in frequency domain channel estimation technique. Our proposal is based on the recursive least squares (RLS) algorithm combined with the decision making process called decision directed channel estimation (RLS-DDCE). The novelty and key concept of this techn...

Full description

Bibliographic Details
Main Authors: M. Muxfeldt, P. Beinschob, U. Zölzer
Format: Article
Language:deu
Published: Copernicus Publications 2010-10-01
Series:Advances in Radio Science
Online Access:http://www.adv-radio-sci.net/8/101/2010/ars-8-101-2010.pdf
id doaj-3c6cba6235e848a1b398eeeb5515958e
record_format Article
spelling doaj-3c6cba6235e848a1b398eeeb5515958e2020-11-24T21:15:55ZdeuCopernicus PublicationsAdvances in Radio Science 1684-99651684-99732010-10-01810110710.5194/ars-8-101-2010Forward and backward RLS-DDCE processing in MIMO-OFDM spatial multiplexing receiversM. Muxfeldt0P. Beinschob1U. Zölzer2Department of Signal Processing and Communications, Helmut-Schmidt-Universität/University of the Federal Armed Forces Hamburg, Holstenhofweg 85, 22043 Hamburg, GermanyDepartment of Signal Processing and Communications, Helmut-Schmidt-Universität/University of the Federal Armed Forces Hamburg, Holstenhofweg 85, 22043 Hamburg, GermanyDepartment of Signal Processing and Communications, Helmut-Schmidt-Universität/University of the Federal Armed Forces Hamburg, Holstenhofweg 85, 22043 Hamburg, GermanyIn this paper we present a novel approach in frequency domain channel estimation technique. Our proposal is based on the recursive least squares (RLS) algorithm combined with the decision making process called decision directed channel estimation (RLS-DDCE). The novelty and key concept of this technique is the block-wise causal and anti-causal RLS processing that yields two independent processing of RLS along with the associated decisions. Due to the implemented low density parity check (LDPC) code the receiver operates with soft information, which enables us to introduce a new modification of the Turbo principle as well as simple addition of the a-posteriori log-likelihood ratios (LLRs). Although the computational complexity is increased by both of our approaches, the latter is relatively less complex than the earlier. Simulation results show that these implementations outperform the simple RLS-DDCE algorithm and yield lower bit error rates (BER) and more accurate channel information.http://www.adv-radio-sci.net/8/101/2010/ars-8-101-2010.pdf
collection DOAJ
language deu
format Article
sources DOAJ
author M. Muxfeldt
P. Beinschob
U. Zölzer
spellingShingle M. Muxfeldt
P. Beinschob
U. Zölzer
Forward and backward RLS-DDCE processing in MIMO-OFDM spatial multiplexing receivers
Advances in Radio Science
author_facet M. Muxfeldt
P. Beinschob
U. Zölzer
author_sort M. Muxfeldt
title Forward and backward RLS-DDCE processing in MIMO-OFDM spatial multiplexing receivers
title_short Forward and backward RLS-DDCE processing in MIMO-OFDM spatial multiplexing receivers
title_full Forward and backward RLS-DDCE processing in MIMO-OFDM spatial multiplexing receivers
title_fullStr Forward and backward RLS-DDCE processing in MIMO-OFDM spatial multiplexing receivers
title_full_unstemmed Forward and backward RLS-DDCE processing in MIMO-OFDM spatial multiplexing receivers
title_sort forward and backward rls-ddce processing in mimo-ofdm spatial multiplexing receivers
publisher Copernicus Publications
series Advances in Radio Science
issn 1684-9965
1684-9973
publishDate 2010-10-01
description In this paper we present a novel approach in frequency domain channel estimation technique. Our proposal is based on the recursive least squares (RLS) algorithm combined with the decision making process called decision directed channel estimation (RLS-DDCE). The novelty and key concept of this technique is the block-wise causal and anti-causal RLS processing that yields two independent processing of RLS along with the associated decisions. Due to the implemented low density parity check (LDPC) code the receiver operates with soft information, which enables us to introduce a new modification of the Turbo principle as well as simple addition of the a-posteriori log-likelihood ratios (LLRs). Although the computational complexity is increased by both of our approaches, the latter is relatively less complex than the earlier. Simulation results show that these implementations outperform the simple RLS-DDCE algorithm and yield lower bit error rates (BER) and more accurate channel information.
url http://www.adv-radio-sci.net/8/101/2010/ars-8-101-2010.pdf
work_keys_str_mv AT mmuxfeldt forwardandbackwardrlsddceprocessinginmimoofdmspatialmultiplexingreceivers
AT pbeinschob forwardandbackwardrlsddceprocessinginmimoofdmspatialmultiplexingreceivers
AT uzolzer forwardandbackwardrlsddceprocessinginmimoofdmspatialmultiplexingreceivers
_version_ 1716744075645812736