• DocumentCode
    26127
  • Title

    Identifiability Analysis of Local Oscillator Phase Self-Calibration Based on Hybrid Cramér–Rao Bound in MIMO Radar

  • Author

    Peilin Sun ; Jun Tang ; Shuang Wan ; Ning Zhang

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • Volume
    62
  • Issue
    22
  • fYear
    2014
  • fDate
    Nov.15, 2014
  • Firstpage
    6016
  • Lastpage
    6031
  • Abstract
    The identifiability of self-calibration of local oscillator phase perturbation in multiple-input multiple-output (MIMO) radar is analyzed in this paper. Four cases are considered: the absolute phase perturbation (APP) and phase perturbation differences (PPDs) in MIMO radar with widely separated antennas (SMIMOR), and the APP and PPDs in co-located MIMO radar (CMIMOR). The tightness of the hybrid Cramér-Rao bound (HCRB) is proved in all four cases. It is interesting that the problem in this paper is a special case in which HCRB is asymptotically tight for nonlinear observation models containing unknown deterministic and random parameters. For each case, a signal model for multiple stationary targets is constructed. The closed-form HCRB of phase perturbation is derived and used to analyze the identifiability of phase perturbation. It is proven that only the PPDs in CMIMOR in the above-mentioned four cases are identifiable. Numerical simulations verify the conclusion.
  • Keywords
    MIMO radar; estimation theory; oscillators; radar antennas; APP; CMIMOR; HCRB; PPD; SMIMOR; absolute phase perturbation; colocated MIMO radar; hybrid Cramér-Rao bound; identifiability analysis; local oscillator phase perturbation self-calibration; multiple-input multiple-output radar; nonlinear observation models; phase perturbation differences; unknown deterministic parameters; unknown random parameters; MIMO; MIMO radar; Radar antennas; Receivers; Sensors; Transmitters; Identifiability; hybrid Cramér–Rao bound (HCRB); multiple-input multiple-output (MIMO) radar; phase perturbation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2014.2347270
  • Filename
    6877741