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Channel Estimation Algorithms for OFDM-IDMA: Complexity and Performance

Hammarberg, Peter LU ; Rusek, Fredrik LU and Edfors, Ove LU (2012) In IEEE Transactions on Wireless Communications 11(5). p.1722-1732
Abstract (Swedish)
Abstract in Undetermined

In this paper, a number of channel estimation algorithms for iterative receivers are compared for the case of an up-link orthogonal frequency division multiplexing interleave division multiple access (OFDM-IDMA) system. Both pilot based algorithms, used to obtain an initial estimate, as well as semi-blind decision-directed algorithms working as a component of the iterative receiver are considered. Algorithms performing either joint minimum mean square error (MMSE) channel estimation, or iterative estimation using space-alternating expectation maximization (SAGE), are evaluated. The considered algorithms differ in terms of complexity, as well as performance. The main contribution of this paper is to... (More)
Abstract in Undetermined

In this paper, a number of channel estimation algorithms for iterative receivers are compared for the case of an up-link orthogonal frequency division multiplexing interleave division multiple access (OFDM-IDMA) system. Both pilot based algorithms, used to obtain an initial estimate, as well as semi-blind decision-directed algorithms working as a component of the iterative receiver are considered. Algorithms performing either joint minimum mean square error (MMSE) channel estimation, or iterative estimation using space-alternating expectation maximization (SAGE), are evaluated. The considered algorithms differ in terms of complexity, as well as performance. The main contribution of this paper is to give an overview of different channel estimation approaches for OFDM-IDMA, where the complexity versus performance tradeoff is at the focal point. There is no single channel estimator providing the best tradeoff and our analysis shows how the system load (number of users) and the SNR influence the estimator choice. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
discrete prolate spheroidal (DPS) sequences, SAGE, maximization (EM), expectation, algorithm complexity, Channel estimation, OFDM-IDMA
in
IEEE Transactions on Wireless Communications
volume
11
issue
5
pages
1722 - 1732
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000304242200011
  • scopus:84861458248
ISSN
1536-1276
DOI
10.1109/TWC.2012.030512.110426
language
English
LU publication?
yes
id
4719fbfd-261c-403c-a1bd-6c5892ee6b90 (old id 2293947)
date added to LUP
2012-01-20 12:35:51
date last changed
2017-10-08 03:54:39
@article{4719fbfd-261c-403c-a1bd-6c5892ee6b90,
  abstract     = {<b>Abstract in Undetermined</b><br/><br>
In this paper, a number of channel estimation algorithms for iterative receivers are compared for the case of an up-link orthogonal frequency division multiplexing interleave division multiple access (OFDM-IDMA) system. Both pilot based algorithms, used to obtain an initial estimate, as well as semi-blind decision-directed algorithms working as a component of the iterative receiver are considered. Algorithms performing either joint minimum mean square error (MMSE) channel estimation, or iterative estimation using space-alternating expectation maximization (SAGE), are evaluated. The considered algorithms differ in terms of complexity, as well as performance. The main contribution of this paper is to give an overview of different channel estimation approaches for OFDM-IDMA, where the complexity versus performance tradeoff is at the focal point. There is no single channel estimator providing the best tradeoff and our analysis shows how the system load (number of users) and the SNR influence the estimator choice.},
  author       = {Hammarberg, Peter and Rusek, Fredrik and Edfors, Ove},
  issn         = {1536-1276},
  keyword      = {discrete prolate spheroidal (DPS) sequences,SAGE,maximization (EM),expectation,algorithm complexity,Channel estimation,OFDM-IDMA},
  language     = {eng},
  number       = {5},
  pages        = {1722--1732},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Wireless Communications},
  title        = {Channel Estimation Algorithms for OFDM-IDMA: Complexity and Performance},
  url          = {http://dx.doi.org/10.1109/TWC.2012.030512.110426},
  volume       = {11},
  year         = {2012},
}