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...
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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 |
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1716744075645812736 |