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Optimal Channel Shortening for MIMO and ISI Channels

Rusek, Fredrik LU and Prlja, Adnan LU (2012) In IEEE Transactions on Wireless Communications 11(2). p.810-818
Abstract
We deal with the construction of optimal channel shortening, also known as combined linear Viterbi detection, algorithms for ISI and MIMO channels. In the case of MIMO channel shortening, the tree structure to represent MIMO signals is replaced by a trellis. The optimization is performed from an information theoretical perspective and the achievable information rates of the shortened models are derived and optimized. Closed form expressions for all components of the optimal detector of the class are derived. Furthermore, we show that previously published channel shortening algorithms can be seen as special cases of the derived model.
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
combined linear Viterbi detection, theory, trellis optimization, applied Shannon, optimization, trellis detection, receiver, BCJR Algorithm, information, rate computation, MIMO, inter-symbol interference, reduced complexity detection, Equalization
in
IEEE Transactions on Wireless Communications
volume
11
issue
2
pages
810 - 818
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000300426000038
  • scopus:84857371699
ISSN
1536-1276
DOI
10.1109/TWC.2011.121911.110809
language
English
LU publication?
yes
id
254ef85c-a631-4305-8357-418e90892c97 (old id 2517418)
date added to LUP
2012-05-15 07:40:22
date last changed
2017-10-01 04:20:29
@article{254ef85c-a631-4305-8357-418e90892c97,
  abstract     = {We deal with the construction of optimal channel shortening, also known as combined linear Viterbi detection, algorithms for ISI and MIMO channels. In the case of MIMO channel shortening, the tree structure to represent MIMO signals is replaced by a trellis. The optimization is performed from an information theoretical perspective and the achievable information rates of the shortened models are derived and optimized. Closed form expressions for all components of the optimal detector of the class are derived. Furthermore, we show that previously published channel shortening algorithms can be seen as special cases of the derived model.},
  author       = {Rusek, Fredrik and Prlja, Adnan},
  issn         = {1536-1276},
  keyword      = {combined linear Viterbi detection,theory,trellis optimization,applied Shannon,optimization,trellis detection,receiver,BCJR Algorithm,information,rate computation,MIMO,inter-symbol interference,reduced complexity detection,Equalization},
  language     = {eng},
  number       = {2},
  pages        = {810--818},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Wireless Communications},
  title        = {Optimal Channel Shortening for MIMO and ISI Channels},
  url          = {http://dx.doi.org/10.1109/TWC.2011.121911.110809},
  volume       = {11},
  year         = {2012},
}