• DocumentCode
    1797187
  • Title

    Diversity gain for MIMO-OTH radar target detection under product of complex Gaussian reflections

  • Author

    Qi Ding ; Qian He ; Zishu He ; Blum, Rick S.

  • Author_Institution
    EE Dept., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • fDate
    9-13 July 2014
  • Firstpage
    688
  • Lastpage
    692
  • Abstract
    Consider a multiple-input multiple-output skywave over-the-horizon (MIMO-OTH) radar system withM transmit and N receive antennas employing the conventional optimal detector for a single complex Gaussian target. The signal from the mth transmit antenna reaches the target after being reflected by the ionosphere via Qm ray paths. Each of these multipath signals bounce off the target and reach the nth receiver after being reflected by the ionosphere again via Hmn ray paths. Thus the transmitted signals are reflected once off the target and twice by the ionosphere before arriving at the receive end, and any of these three reflections can be either categorized as being complex Gaussian or deterministic. If either one or two of the reflections are modeled as complex Gaussian while the others are modeled as deterministic, it is shown that the largest possible diversity gain is upper bounded by equation.
  • Keywords
    Gaussian processes; MIMO radar; diversity reception; radar detection; MIMO-OTH radar target detection; complex Gaussian reflection product; diversity gain; multiple input multiple output skywave; optimal detector; over-the-horizon radar system; single complex Gaussian target; Diversity methods; Ionosphere; Radar; Radar antennas; Receiving antennas; MIMO-OTH radar; complex Gaussian; diversity gain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4799-5401-8
  • Type

    conf

  • DOI
    10.1109/ChinaSIP.2014.6889332
  • Filename
    6889332