• DocumentCode
    675839
  • Title

    Experimental study on statistical characteristic of MIMO sensor for event detection

  • Author

    Itabashi, S. ; Yamada, Hiroyoshi ; Nishimori, Kentaro ; Yamaguchi, Yoshio

  • Author_Institution
    Grad. Sch. of Sci. & Technol., Niigata Univ., Niigata, Japan
  • Volume
    01
  • fYear
    2013
  • fDate
    23-25 Oct. 2013
  • Firstpage
    211
  • Lastpage
    214
  • Abstract
    Recently, researches on radio wave security sensors by using array antenna or MIMO(Multiple-Input Multiple Output) system have been attracting attention. These sensors utilize the property that MIMO channel matrix is sensitive to the propagation environment change in indoor multipath environment. Now the property is used for event detection, such as intrusion, by calculating correlation of MIMO channel matrices. Fundamental study has been performed, however, statistical property, or quantitative detection performance analysis, of the sensor was still remain to be clarified. So, our objective is to derive a probability density function (PDF) of the correlation coefficient and to demonstrate them experimentally. The PDF is a key function to derive detection rate and so on. In the conventional MIMO sensor, correlation coefficient of the channel matrix between with and without an event is used as a measure of events. Therefore, in this report we will derive the PDF of the channel correlation used in the conventional MIMO sensor theoretically and also show the validity by experimental results.
  • Keywords
    MIMO communication; antenna arrays; indoor radio; probability; sensors; statistical analysis; wireless channels; MIMO channel matrix; MIMO sensor; PDF; antenna array; channel correlation; event detection; indoor multipath environment; multiple-input multiple output system; probability density function; radio wave security sensor; statistical characteristic; Coherence; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas & Propagation (ISAP), 2013 Proceedings of the International Symposium on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-7-5641-4279-7
  • Type

    conf

  • Filename
    6717414