• DocumentCode
    3488014
  • Title

    Efficient nonlinear equalization scheme for MIMO constant envelope modulation receivers affected by quantization error

  • Author

    Kotera, Kohei ; Muta, Osamu ; Furukawa, Hiroshi

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka, Japan
  • fYear
    2012
  • fDate
    1-3 Feb. 2012
  • Firstpage
    275
  • Lastpage
    279
  • Abstract
    The authors have proposed Multi-Input Multi-Output (MIMO) constant envelope modulation (CEM) systems that enable to use a power-efficient nonlinear power amplifier on the transmitter side and a low resolution analog-to-digital converter (ADC) on the receiver side, where power consumption at the analog devices is effectively reduced by employing a low resolution ADC at the receiver. In such a receiver, the received signal is seriously affected by severe quantization error by the ADC and therefore BER performance is degraded. As a solution to performance degradation at the MIMO-CEM receiver affected by quantization error, in this paper, we propose efficient nonlinear (Viterbi) equalization schemes that estimate both inter-symbol interference in multi-path channel and quantization error in ADC, where quantization error is estimated by using a simple function that models the relation between the received signal level and the resulting quantization error. In addition, the proposed scheme effectively reduces the number of states in Viterbi equalization to achieve computational complexity reduction for equalizations. Computer simulation results show that the proposal nonlinear equalization scheme improves BER performance of MIMO-CEM receiver seriously affected by quantization error, while computational complexity is effectively reduced.
  • Keywords
    MIMO communication; analogue-digital conversion; computational complexity; error statistics; maximum likelihood estimation; modulation; power amplifiers; ADC; BER; CEM systems; MIMO constant envelope modulation receivers; Viterbi equalization; analog-to-digital converter; computational complexity; multi-input multi-output; nonlinear equalization; power-efficient nonlinear power amplifier; quantization error; Bit error rate; Computational complexity; Estimation; MIMO; Quantization; Receivers; Viterbi algorithm; Constant envelope modulation; Low resolution ADC; MIMO; Quantization error estimation; Viterbi equalization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Networking (ICOIN), 2012 International Conference on
  • Conference_Location
    Bali
  • ISSN
    1976-7684
  • Print_ISBN
    978-1-4673-0251-7
  • Type

    conf

  • DOI
    10.1109/ICOIN.2012.6164391
  • Filename
    6164391