• DocumentCode
    2742338
  • Title

    Detection with target-incurring orthogonal subspace interference

  • Author

    Wang, Pu ; Fang, Jun ; Li, Hongbin

  • Author_Institution
    ECE Dept., Stevens Inst. of Technol., Hoboken, NJ, USA
  • fYear
    2012
  • fDate
    17-20 June 2012
  • Firstpage
    405
  • Lastpage
    408
  • Abstract
    In this paper, we consider the detection of a deterministic signal with an unknown scaling amplitude in the presence of a colored noise, when there is a covariance mismatch between the null and alternative hypotheses. Specifically, we consider a scenario where the target incurs an additional subspace interference that is orthogonal to the target steering vector and only present under the alternative hypothesis. To address this problem, we apply the generalized likelihood ratio test (GLRT) principle which results in a detector involving the following steps: the observation is first projected into the interference subspace. Then, the energy of the projected signal (residue) is computed. If the residual energy is small, the GLRT reduces to the standard matched filter (MF) which ignores the subspace interference; otherwise, a modified test statistic is employed for additional interference cancellation. Simulation results are presented to demonstrate the effectiveness of the proposed detector.
  • Keywords
    matched filters; object detection; radiofrequency interference; signal detection; GLRT principle; colored noise; covariance mismatch; deterministic signal detection; generalized likelihood ratio test; matched filter; orthogonal subspace interference; projected signal energy computation; scaling amplitude; target steering vector; test statistic; Cost function; Covariance matrix; Detectors; Interference; Maximum likelihood estimation; Noise; Vectors; Hypothesis test; adaptive detection; generalized likelihood ratio test; subspace interference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th
  • Conference_Location
    Hoboken, NJ
  • ISSN
    1551-2282
  • Print_ISBN
    978-1-4673-1070-3
  • Type

    conf

  • DOI
    10.1109/SAM.2012.6250523
  • Filename
    6250523