• DocumentCode
    1962709
  • Title

    Accurate detection of the number of arrival signals using pre-estimated signal subspace

  • Author

    Ishikawa, Yoshihisa ; Ichige, Koichi ; Arai, Hiroyuki

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan
  • fYear
    2005
  • fDate
    5-8 June 2005
  • Firstpage
    840
  • Lastpage
    844
  • Abstract
    This paper presents an accurate detector of the number of incident waves arriving at smart antenna. The array antenna and MIMO techniques are developing toward 4th generation mobile communication systems, and the accurate estimation of propagation environment becomes more important. This paper attracts attention to the accurate detection of the number of incident waves which is one of important characteristics in multidirectional communication. There are some recent papers on the accurate detection, but they still have problems of computational cost or estimation accuracy in severe environment like low SNR, small number of snapshots or adjacent waves. Thus AIC and MDL methods based on information theory are still often used. In this paper, we propose an accurate estimation method of the number of arrival signals using the orthogonality of sub-spaces derived from preliminary estimation of signal sub-space. The proposed method accurately estimates the number of signals especially in severe environments where AIC and MDL methods can hardly estimate.
  • Keywords
    4G mobile communication; MIMO systems; adaptive antenna arrays; array signal processing; direction-of-arrival estimation; eigenvalues and eigenfunctions; mobile radio; radiowave propagation; signal detection; 4G network; 4th generation mobile communication system; AIC method; MDL method; MIMO technique; antenna array; detector; incident wave; information theory; multidirectional communication; number of arrival signal; propagation environment; smart antenna; subspace orthogonality; Ambient intelligence; Antenna arrays; Antennas and propagation; Computational efficiency; Covariance matrix; Detectors; Direction of arrival estimation; MIMO; Multiple signal classification; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications, 2005 IEEE 6th Workshop on
  • Print_ISBN
    0-7803-8867-4
  • Type

    conf

  • DOI
    10.1109/SPAWC.2005.1506258
  • Filename
    1506258