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Joint data and channel estimation using semi-blind MLSE algorithms
KTH, School of Electrical Engineering (EES), Communication Theory.
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-5407-0835
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-7926-5081
2013 (English)In: 2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC, IEEE , 2013, 400-404 p.Conference paper, Published paper (Refereed)
Abstract [en]

Operation-intensive exhaustive checking is the unique optimal method for performing joint maximum-likelihood (JML) data and channel estimation. Thus, several suboptimal methods incorporating conventional maximum-likelihood sequence estimation (MLSE) or its extensions have been proposed in order to reduce complexity. However, most of them suffer from either long convergence delay or unsatisfactory performance. Therefore, based on a two-phase MLSE algorithm designed for partially coherent receivers, we propose a novel low-complexity and low-latency batch algorithm for JML process. The proposed algorithm first searches for several of the best candidate training sequences using priority-first search, and then applies the training sequences to the two-phase MLSEs to obtain the maximum-likelihood data sequence. Simulation results show that when the candidate training sequence length is adequate, the proposed algorithm can achieve the performance of optimal exhaustive checking.

Place, publisher, year, edition, pages
IEEE , 2013. 400-404 p.
Series
IEEE International Workshop on Signal Processing Advances in Wireless Communications, ISSN 2325-3789
Keyword [en]
Batch algorithms, Convergence delay, Joint maximum likelihood, Maximum-likelihood sequence estimation, Optimal methods, Partially coherent, Sub-optimal method, Training sequences, Optimization, Radio systems, Signal processing, Wireless telecommunication systems, Algorithms
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-140025DOI: 10.1109/SPAWC.2013.6612080ISI: 000333366400081Scopus ID: 2-s2.0-84885831705ISBN: 978-1-4673-5577-3 (print)OAI: oai:DiVA.org:kth-140025DiVA: diva2:689768
Conference
2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013, 16 June 2013 through 19 June 2013, Darmstadt
Note

QC 20140121

Available from: 2014-01-21 Created: 2014-01-16 Last updated: 2014-04-24Bibliographically approved

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Xiao, MingSkoglund, Mikael

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