• DocumentCode
    1678017
  • Title

    Partially coherent distributed detection under total power constraint

  • Author

    Zhenhua Xu ; Jianguo Huang ; Qunfei Zhang

  • Author_Institution
    Coll. of Marine Eng., Northwestern Polytech. Univ. Xi´an, Xi´an, China
  • fYear
    2013
  • Firstpage
    5338
  • Lastpage
    5342
  • Abstract
    In this paper, we consider the problem of power constrained partially coherent distributed detection over fading multi-access channel. The deflection coefficient maximization (DCM) is used to optimize the performance of detectors. Two cases of the channel gain information are considered separately at the fusion center, one case with perfect channel gain (the corresponding method is referred to as PC-DCM, with PC being the abbreviation for “partially coherent”), the other case with statistical information of channel gain (the corresponding method is referred to as PC-DCM-CS, with CS being the abbreviation for “channel statistics”). We derive the closed-form solutions to the considered problems. Monte-Carlo simulations are carried out to verify the performance of the proposed methods. Simulation results show that the proposed new methods could significantly improve the detection performance of the fusion system at low signal-to-noise ratio (SNR).
  • Keywords
    Monte Carlo methods; fading channels; sensor fusion; signal detection; statistical analysis; Monte Carlo simulations; PC-DCM-CS; channel gain information; channel statistics; deflection coefficient maximization; fading multiaccess channel; fusion center; partially coherent distributed detection; perfect channel gain; statistical information; total power contraint; Fading; Sensor fusion; Signal to noise ratio; Vectors; Wireless communication; Wireless sensor networks; Distributed detection; deflection coefficient maximization; multi-access channel; partially coherent; power constraint;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638682
  • Filename
    6638682