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On channel estimators for iterative CDMA multiuser receivers in flat Rayleigh fading

Wehinger, Joachim; Mecklenbräuker, Christoph; Mueller, Ralf; Zemen, Thomas and Loncar, Maja LU (2004) ICC - the IEEE International Conference on Communications, 2004 In IEEE International Conference on Communications, 2004 p.2497-2501
Abstract
In this work we compare channel estimation algorithms

for use in an iterative CDMA receiver in a block

fading environment. The receiver consists of a soft multiuser data estimator, a bank of single user decoders, and a multiuser channel estimator. The multiuser data estimator is implemented as parallel interference canceler with unconditional post-MMSE filtering

(PIC-MMSE) and the decoder is a soft-in soft-out MAP decoder. In the channel estimator we make use of dedicated pilot symbols and fed back soft-code symbols which are exploited as additional soft pilot symbols when the iterations proceed. We show that using extrinsic information increases the receiver performance

significantly compared to using a... (More)
In this work we compare channel estimation algorithms

for use in an iterative CDMA receiver in a block

fading environment. The receiver consists of a soft multiuser data estimator, a bank of single user decoders, and a multiuser channel estimator. The multiuser data estimator is implemented as parallel interference canceler with unconditional post-MMSE filtering

(PIC-MMSE) and the decoder is a soft-in soft-out MAP decoder. In the channel estimator we make use of dedicated pilot symbols and fed back soft-code symbols which are exploited as additional soft pilot symbols when the iterations proceed. We show that using extrinsic information increases the receiver performance

significantly compared to using a posteriori information in the feedback for channel estimation. We introduce a linear MMSE (LMMSE) estimator which takes into account the variances of fed back code symbols and compare it to approximations of the least squares (ALS) estimator and the linear minimum-mean-square error (ALMMSE) estimator. Performance results are illustrated in terms of bit error rate (BER) and average normalized square error (ANSE) of the channel estimators. They show that the newly proposed LMMSE algorithm outperforms the ALS and ALMMSE algorithms. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
IEEE International Conference on Communications, 2004
pages
2497 - 2501
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
ICC - the IEEE International Conference on Communications, 2004
external identifiers
  • Scopus:4143059331
ISBN
0-7803-8533-0
DOI
10.1109/ICC.2004.1312981
language
English
LU publication?
yes
id
bdaf1f53-d5ea-4868-8ef7-a8331c152ecf (old id 1039803)
date added to LUP
2008-02-28 13:58:35
date last changed
2017-01-01 07:57:40
@inproceedings{bdaf1f53-d5ea-4868-8ef7-a8331c152ecf,
  abstract     = {In this work we compare channel estimation algorithms<br/><br>
for use in an iterative CDMA receiver in a block<br/><br>
fading environment. The receiver consists of a soft multiuser data estimator, a bank of single user decoders, and a multiuser channel estimator. The multiuser data estimator is implemented as parallel interference canceler with unconditional post-MMSE filtering<br/><br>
(PIC-MMSE) and the decoder is a soft-in soft-out MAP decoder. In the channel estimator we make use of dedicated pilot symbols and fed back soft-code symbols which are exploited as additional soft pilot symbols when the iterations proceed. We show that using extrinsic information increases the receiver performance<br/><br>
significantly compared to using a posteriori information in the feedback for channel estimation. We introduce a linear MMSE (LMMSE) estimator which takes into account the variances of fed back code symbols and compare it to approximations of the least squares (ALS) estimator and the linear minimum-mean-square error (ALMMSE) estimator. Performance results are illustrated in terms of bit error rate (BER) and average normalized square error (ANSE) of the channel estimators. They show that the newly proposed LMMSE algorithm outperforms the ALS and ALMMSE algorithms.},
  author       = {Wehinger, Joachim and Mecklenbräuker, Christoph and Mueller, Ralf and Zemen, Thomas and Loncar, Maja},
  booktitle    = {IEEE International Conference on Communications, 2004},
  isbn         = {0-7803-8533-0},
  language     = {eng},
  pages        = {2497--2501},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {On channel estimators for iterative CDMA multiuser receivers in flat Rayleigh fading},
  url          = {http://dx.doi.org/10.1109/ICC.2004.1312981},
  year         = {2004},
}