Optimal Channel Shortening for MIMO and ISI Channels
(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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2517418
- author
- Rusek, Fredrik LU and Prlja, Adnan LU
- organization
- publishing date
- 2012
- 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
- 2016-04-01 14:17:21
- date last changed
- 2022-04-14 17:00:24
@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}}, 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}}, 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}}, doi = {{10.1109/TWC.2011.121911.110809}}, volume = {{11}}, year = {{2012}}, }