• DocumentCode
    2216754
  • Title

    Performance Improvement for MIMO Communication Systems Employing Per Transmit Antenna Differential Encoding (PADE)

  • Author

    Kubo, Hiroshi ; Higashinaka, Masatsugu ; Okazaki, Akihiro ; Murakami, Keishi

  • Author_Institution
    Inf. Technol. R&D Center, Mitsubishi Electr. Corp., Kanagawa
  • Volume
    1
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Firstpage
    42
  • Lastpage
    46
  • Abstract
    This paper proposes performance improvement schemes for multiple-input multiple-output (MIMO) communication systems employing per transmit antenna differential encoding (PADE), which generates an independent differentially encoded sequence for each of the multiple transmit antennas by means of space-time coding and mapping. PADE can operate without channel state information (CSI) at both the transmitter and the receiver. This paper proposes the following schemes suitable for PADE: 1) novel mapping schemes for transmit diversity (TD) and spatial multiplexing (SM); and 2) introduction of the state-reduction algorithm for per-survivor processing (PSP), if the channel is estimated by a large number of observation symbols of the received signal. Next, computer simulation confirms that the proposed schemes can improve bit error rate (BER) performance and can mitigate floor of BER on slowly time-varying fading channels, keeping small hardware complexity
  • Keywords
    MIMO systems; antenna arrays; diversity reception; error statistics; fading channels; multiplexing; space-time codes; time-varying channels; transmitting antennas; BER; MIMO communication systems; bit error rate; mapping schemes; multiple transmit antennas; multiple-input multiple-output; per transmit antenna differential encoding; per-survivor processing; space-time coding; spatial multiplexing; state-reduction algorithm; time-varying fading channels; transmit diversity; Bit error rate; Channel state information; Encoding; MIMO; Samarium; Signal mapping; Signal processing; State estimation; Transmitters; Transmitting antennas; Maximum-likelihood detection; Multiple-input multiple-output (MIMO); Spatial multiplexing; State-reduction algorithm; Transmit diversity; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2005. PIMRC 2005. IEEE 16th International Symposium on
  • Conference_Location
    Berlin
  • Print_ISBN
    9.7838007291e+012
  • Type

    conf

  • DOI
    10.1109/PIMRC.2005.1651395
  • Filename
    1651395