Optimal Channel Shortening for MIMO and ISI Channels

Research output: Contribution to journalArticle

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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Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Electrical Engineering, Electronic Engineering, Information Engineering

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
Original languageEnglish
Pages (from-to)810-818
JournalIEEE Transactions on Wireless Communications
Volume11
Issue number2
Publication statusPublished - 2012
Publication categoryResearch
Peer-reviewedYes