• DocumentCode
    2631383
  • Title

    Comparing Multistatic with Monostatic Super-Resolution Array Processing Techniques: Detection of Random Targets

  • Author

    Ho, Minhtri ; Lev-Ari, Hanoch

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA
  • fYear
    2006
  • fDate
    12-14 July 2006
  • Firstpage
    214
  • Lastpage
    218
  • Abstract
    Conventional MUSIC (multiple signal classification) method, which is a well-known super-resolution technique that employs a monostatic configuration, degrades severely when the multiple targets are deterministic because the rank of the covariance matrix collapses to the value of one regardless of the number of targets. FRM (frequency response matrix), with its multistatic configuration, is also a super-resolution technique and can complement MUSIC in the target randomness spectrum. This paper demonstrates that conventional MUSIC performs better for targets with strongly random (complex) amplitudes and FRM performs better for target with weakly random amplitudes (best for deterministic amplitudes)
  • Keywords
    array signal processing; covariance matrices; signal classification; signal detection; signal resolution; covariance matrix; frequency response matrix; monostatic super-resolution array processing; multiple signal classification method; multistatic super-resolution array processing; random targets detection; Acoustic sensors; Array signal processing; Covariance matrix; Degradation; Multiple signal classification; Sensor arrays; Sensor fusion; Signal processing; Signal resolution; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Processing, 2006. Fourth IEEE Workshop on
  • Conference_Location
    Waltham, MA
  • Print_ISBN
    1-4244-0308-1
  • Type

    conf

  • DOI
    10.1109/SAM.2006.1706124
  • Filename
    1706124