• DocumentCode
    1661787
  • Title

    Detection scheme for MIMO systems based on covariance shaping least squares estimator in quantum signal processing

  • Author

    Zhao, Sheng-Mei ; SHEN, Zhi-gang ; Zheng, Bao-yu

  • Author_Institution
    Nanjing Univ. of Posts & Telecommun., Nanjing
  • fYear
    2008
  • Firstpage
    2158
  • Lastpage
    2161
  • Abstract
    Covariance shaping least squares estimator is a new kind of linear estimator based on covariance shaping in quantum signal processing (QSP) framework. In this paper, we apply the covariance shaping least squares (CSLS) estimator to the detection of MIMO systems that leads to a new detection algorithm, covariance shaping MIMO detection algorithm. We derive the formalism of covariance shaping MIMO detection algorithm, and analyze its performance by numerical experiments. The results show that the performance of system is better than that of detection algorithm with zero-forcing and MMSE solutions, and the objective covariance matrix plays an important role in the proposed scheme.
  • Keywords
    MIMO communication; covariance matrices; least mean squares methods; quantum communication; signal detection; MMSE solution; covariance shaping MIMO detection algorithm; covariance shaping least squares estimator; linear estimator; objective covariance matrix; quantum signal processing; zero-forcing algorithm; Communication systems; Detection algorithms; Hilbert space; Least squares approximation; MIMO; Mechanical variables measurement; Multiuser detection; Quantum mechanics; Signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697574
  • Filename
    4697574