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Subspace Recursive Weighted LS Solution of Iterative Synchronization in Time-Variant Channel

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A03129993" target="_blank" >RIV/68407700:21230/07:03129993 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Subspace Recursive Weighted LS Solution of Iterative Synchronization in Time-Variant Channel

  • Original language description

    Expectation-Maximization (EM) based iterative synchronizer is a particular form of the Information Measure Directed (IMD) synchronizer using a posteriori soft-information from the iterative decoding network. We solve the problem of EM based IMD synchronization in the general fast time-variant channel. The channel coefficients are allowed to change arbitrarily up to the granularity of the symbol period. We have identified the correspondence between the EM iterator and the weighted least squares (LS) problem. Particularly interesting is the subspace order recursive form of the LS iterator which reduces the implementation complexity. The procedure is demonstrated on example systems with the estimation of phase and jointly amplitude and phase on serially concatenated coding scheme. We use realistic Jake's Doppler dynamics as an example for the true channel and variety of subspace models for the EM estimator.

  • Czech name

    Subspace Recursive Weighted LS Solution of Iterative Synchronization in Time-Variant Channel

  • Czech description

    Expectation-Maximization (EM) based iterative synchronizer is a particular form of the Information Measure Directed (IMD) synchronizer using a posteriori soft-information from the iterative decoding network. We solve the problem of EM based IMD synchronization in the general fast time-variant channel. The channel coefficients are allowed to change arbitrarily up to the granularity of the symbol period. We have identified the correspondence between the EM iterator and the weighted least squares (LS) problem. Particularly interesting is the subspace order recursive form of the LS iterator which reduces the implementation complexity. The procedure is demonstrated on example systems with the estimation of phase and jointly amplitude and phase on serially concatenated coding scheme. We use realistic Jake's Doppler dynamics as an example for the true channel and variety of subspace models for the EM estimator.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F05%2F2177" target="_blank" >GA102/05/2177: Multiple-input multiple-output spatial diversity mobile radio communication systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2007

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    European Transactions on Telecommunications

  • ISSN

    1124-318X

  • e-ISSN

  • Volume of the periodical

    18

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    IT - ITALY

  • Number of pages

    16

  • Pages from-to

    1-16

  • UT code for WoS article

  • EID of the result in the Scopus database