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AuthorDangl, Markus Alexanderdc.contributor.author
Date of accession2016-03-14T15:19:53Zdc.date.accessioned
Available in OPARU since2016-03-14T15:19:53Zdc.date.available
Year of creation2007dc.date.created
AbstractThis thesis deals with efficient receiver design for digital point-to-point communications. A single carrier block transmission scheme, including channel coding, shall serve as a basis. At the receiver neither knowledge of the channel impulse response (CIR) nor the signal-to-noise ratio (SNR) is assumed. Accordingly, those parameters have to be estimated for power-efficient data detection. In particular, an iterative solution for joint parameter estimation and data detection based on the turbo principle is investigated. As a result of an in-depth study of various decision-directed SNR estimation techniques, a novel estimator using a priori probabilities of data symbols is derived for Gaussian channels with binary modulation. The potential of the algorithm is evaluated for the example of iterative decoding of concatenated convolutional codes. In the case of multipath channels, the CIR has to be estimated, too and equalization is additionally necessary. Iterative equalization and decoding is chosen as a powerful technique for data detection with moderate computational complexity. A decision-directed channel estimator based on the least-mean-square algorithm is suggested that adapts its step size according to the quality of the data estimates and that does not require SNR knowledge. Numerical results for a turbo equalization setup support that the proposed channel estimator performs well for arbitrary signal constellations. Furthermore, the performance of turbo equalization itself is addressed. An optimization algorithm for bit-to-symbol mappings is presented that enhances power efficiency by means of iterative demapping. The algorithm can be applied to any equalization technique if the equalizer"s output variance is known or can be estimated. Finally, the use of estimation error statistics is investigated. Its advantage for turbo equalization and the relationship to decision-directed channel estimation is shown by an extrinsic information transfer analysis.dc.description.abstract
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
LicenseStandard (Fassung vom 01.10.2008)dc.rights
Link to license texthttps://oparu.uni-ulm.de/xmlui/license_v2dc.rights.uri
KeywordTurbo equalizationdc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
LCSHDigital signal processingdc.subject.lcsh
LCSHParameter estimationdc.subject.lcsh
TitleIterative estimation and detection for single carrier block transmissiondc.title
Resource typeDissertationdc.type
DOIhttp://dx.doi.org/10.18725/OPARU-1050dc.identifier.doi
PPN1648213421dc.identifier.ppn
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-vts-69446dc.identifier.urn
GNDDigitale Signalverarbeitungdc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften und Informatikuulm.affiliationGeneral
Citation of original publ.Der Andere Verlag in Tönning [u.a] im Jahr 2007 mit der ISBN 978-3-89959-681-6uulm.citationOrigPub
Date of activation2009-07-31T09:21:10Zuulm.freischaltungVTS
Peer reviewneinuulm.peerReview
Shelfmark print versionZ: J-H 9.747; W: W-H 9.624uulm.shelfmark
DCMI TypeTextuulm.typeDCMI
VTS-ID6944uulm.vtsID
CategoryPublikationenuulm.category
University Bibliographyjauulm.unibibliographie


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