• DocumentCode
    1787035
  • Title

    Blind channel estimation based TLS algorithm in fully connected network with two signal sources

  • Author

    Foroushi, Zohre ; TabatabaVakili, Vahid

  • Author_Institution
    Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
  • fYear
    2014
  • fDate
    9-11 Sept. 2014
  • Firstpage
    375
  • Lastpage
    378
  • Abstract
    Blind channel estimation for dereverberation is noticed in most applications such as, blind source separation, communication and etc. The important challenge in this application is convolutive mixtures in a reverberant acoustic environment. In this paper, a MIMO system that has 2 input signals will be converted into 2 SIMO systems and their spatial interference will be separated. A tree structure is chosen from fully connected network and one virtual node is added to this network at signal source 1. The equations of 2 SIMO systems are merged and a linear equation is obtained from them. This equation is solved by TLS estimation and channel coefficients are obtained iteratively. We have provided MC simulation that demonstrates the effectiveness of the algorithm.
  • Keywords
    MIMO communication; acoustic communication (telecommunication); acoustic signal processing; channel estimation; interference (signal); least mean squares methods; MIMO system; SIMO systems; TLS algorithm; acoustic wireless sensor network; blind channel estimation; blind source separation; reverberant acoustic environment; signal source; spatial interference; total least squares estimation; Channel estimation; Equations; Estimation; MIMO; Mathematical model; Signal processing algorithms; Vectors; TLS; blind channel estimation; sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications (IST), 2014 7th International Symposium on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4799-5358-5
  • Type

    conf

  • DOI
    10.1109/ISTEL.2014.7000732
  • Filename
    7000732