On channel estimators for iterative CDMA multiuser receivers in flat Rayleigh fading
(2004) ICC - the 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:
https://lup.lub.lu.se/record/1039803
- author
- Wehinger, Joachim ; Mecklenbräuker, Christoph ; Mueller, Ralf ; Zemen, Thomas and Loncar, Maja LU
- organization
- publishing date
- 2004
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 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
- conference location
- Paris, France
- conference dates
- 2004-06-20 - 2004-06-24
- 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
- 2016-04-04 10:23:23
- date last changed
- 2022-01-29 20:15:20
@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 = {{https://lup.lub.lu.se/search/files/5527251/1039852.pdf}},
doi = {{10.1109/ICC.2004.1312981}},
year = {{2004}},
}