dc.contributor.authorYu, Chengpu
dc.contributor.authorZhang, Cishen
dc.contributor.authorXie, Lihua
dc.date.accessioned2014-04-09T01:41:18Z
dc.date.available2014-04-09T01:41:18Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.citationYu, C., Zhang, C., & Xie, L. (2012). A novel Maximum-Likelihood method for blind multichannel identification. International Conference on Information Fusion, 1435-1440.en_US
dc.identifier.urihttp://hdl.handle.net/10220/19171
dc.description.abstractDeterministic blind identification algorithms of single-input and multi-output (SIMO) systems can effectively estimate channel functions and the common source signal at high signal-noise-ratio (SNR) and small available data sample scenarios. However, it is difficult for them to identify systems accurately when the noise level is high. To deal with the noise problem, this paper develops an exact Maximum-Likelihood (EML) model which is different from the two-stage Maximum-Likelihood (TSML) method or the semi-blind ML method in the literature. The EML model derived from the cross relation equation of two channels does not contain the source signal but channel functions and output observations, hence the identification performance is barely affected by the unknown source signal. In addition, an iterative optimization approach based on variable splitting technique and alternating direction method of multipliers (ADMM) is derived to minimize the negative log-likelihood function. Simulations are carried out to verify the effectiveness of the proposed method.en_US
dc.language.isoenen_US
dc.rights© 2012 ISIF. This paper was published in 2012 15th International Conference onInformation Fusion (FUSION) and is made available as an electronic reprint (preprint) with permission of ISIF. The paper can be found at the following official DOI: [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6289976 ].  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.en_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering
dc.titleA novel maximum-likelihood method for blind multichannel identificationen_US
dc.typeConference Paper
dc.contributor.conferenceInternational Conference on Information Fusion (FUSION) (15th : 2012)en_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.versionPublished versionen_US
dc.identifier.urlhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6289976


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