• DocumentCode
    3349481
  • Title

    Low complexity MIMO receiver with decoupled detection

  • Author

    Zhang, Jianzhong ; Sayeed, Akbar ; Van Veen, Bany

  • Author_Institution
    Nokia Res. Center, Irving, TX, USA
  • fYear
    2002
  • fDate
    4-6 Aug. 2002
  • Firstpage
    313
  • Lastpage
    317
  • Abstract
    A low-complexity decoupled detection MIMO receiver structure is proposed for wireless systems with frequency-selective channels. This receiver structure is termed the decoupled Viterbi algorithm (DVA). In this structure, all the transmitted data streams are completely decoupled at the receiver and are detected independently. This structure can also be viewed as a variation of a MIMO minimum mean square error decision feedback sequence estimator (MMSE-DFSE) structure. Moreover, a certain MMSE optimization constraint, namely L-tap forward interference control (L-tap FIC), is needed to achieve complete decoupling of the transmitted data streams at the receiver. It is shown that the complexity of the DVA is "linear", meaning it increases only linearly with the number of transmitted data streams. Compared with other receivers that have "linear" complexity, such as partitioned Viterbi algorithm (PVA) (Miller, C. et al., IEEE Trans. on Commun., vol.49, no.11, 2001), DVA provides an attractive alternative since it does not require interchange of tentative decisions between different detection branches.
  • Keywords
    MIMO systems; Viterbi detection; computational complexity; data communication; decision feedback equalisers; interference suppression; least mean squares methods; maximum likelihood sequence estimation; optimisation; radio receivers; radiofrequency interference; signal detection; DFSE; DFSE equalizer; MIMO receiver; MLSE; MMSE optimization constraint; data streams; decision feedback sequence estimator; decoupled Viterbi algorithm; decoupled detection; forward interference control; frequency-selective channels; minimum mean square error; multiple access interference; multiple receive antennas; multiple transmit antennas; partitioned Viterbi algorithm; wireless systems; Constraint optimization; Equalizers; Feedback; Finite impulse response filter; Frequency; MIMO; Multiple access interference; Receiving antennas; Transmitting antennas; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002
  • Print_ISBN
    0-7803-7551-3
  • Type

    conf

  • DOI
    10.1109/SAM.2002.1191051
  • Filename
    1191051