• DocumentCode
    3416880
  • Title

    On LMMSE bias in CDMA SIMO/MIMO receivers

  • Author

    Ghauri, Irfan ; Shenoy, Shakti P. ; Slock, Dirk T M

  • Author_Institution
    Infineon Technol. France GAIA, Sophia Antipolis
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    2937
  • Lastpage
    2940
  • Abstract
    We revisit CDMA downlink receivers (RX) based on linear minimum mean-square error (LMMSE) chip-equalizer front-end followed by a Walsh code correlator for single-input-single (multi)- output (SISO or SIMO) channels with the purpose of highlighting the non-trivial question of bias in the output of the equalizer. In a linear time-invariant channel, this bias is constant at chip-equalizer output, but evolves over time at code correlator output impacting Signal-to-Interference-plus-noise ratio (SINR) and thus achievable rates in such receivers. In principle, this bias must be taken into account in further RX/decoding stages even if its impact is small. It is shown that a new class of maximum-likelihood (ML) RX leading to potential performance gains is obtained when properly accounting for symbol-level bias across a set of user codes. These results are extended to the multi-input-multi-output (MIMO) case of UMTS high-speed downlink packet access (HSDPA).
  • Keywords
    3G mobile communication; MIMO communication; code division multiple access; interference (signal); mean square error methods; radio receivers; wireless channels; CDMA downlink receiver; UMTS high-speed downlink packet access; Walsh code correlator; chip-equalizer front-end; linear minimum mean-square error; linear time-invariant channel; maximum likelihood; multi-input-multi-output channel; signal-to-interference-plus-noise ratio; single-input-multi-output channel; single-input-single-output channel; 3G mobile communication; Correlators; Downlink; Equalizers; Finite impulse response filter; MIMO; Maximum likelihood decoding; Multiaccess communication; Performance gain; Signal to noise ratio; CDMA; LMMSE Bias; MIMO; Maximum Likelihood; SINR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4518265
  • Filename
    4518265