• DocumentCode
    705313
  • Title

    Properties of robust MIMO detector

  • Author

    Chong, C.Y. ; Pascal, F. ; Ovarlez, J.-P. ; Lesturgie, M.

  • Author_Institution
    SONDRA, Supelec, Gif-sur-Yvette, France
  • fYear
    2010
  • fDate
    23-27 Aug. 2010
  • Firstpage
    1068
  • Lastpage
    1072
  • Abstract
    Previously, using the Maximum Likelihood (ML) method, we obtained a new Gaussian Multiple-Input Multiple-Output (MIMO) detector which is robust to the correlation between the subarrays [1]. It is found that this new detector has the same statistical properties in the absence of target irregard-less if the subarrays are correlated or not. It becomes the MIMO Optimum Gaussian Detector (OGD) [2, 3] when the subarrays are uncorrelated. In this paper, we define two main configurations, transmit or receive diversity, with varying degree of freedoms (subarrays). Using these configurations, we study the detection performance of this detector and its adaptive version with respect to various parameters.
  • Keywords
    Gaussian processes; MIMO radar; adaptive signal detection; array signal processing; diversity reception; maximum likelihood detection; radar detection; radar signal processing; adaptive detection; degree of freedom variation; maximum likelihood method; multiple input multiple output; optimum Gaussian detector; receive diversity; robust Gaussian MIMO detector; statistical property; subarrays; transmit diversity; Clutter; Correlation; Covariance matrices; Detectors; MIMO; Robustness; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2010 18th European
  • Conference_Location
    Aalborg
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7096586