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Non-parametric techniques for the estimation of spatial spectra in non-stationary environments

Non-parametric techniques for the estimation of spatial spectra in non-stationary environments

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A novel approach to the problem of estimating a spatial spectrum in a non-stationary environment has been presented. The approach adopted relies on the same principle as that which underpins the Wigner distribution. The proposed methodology results in the construction of a new sufficient statistic that can be used in conjunction with a variety of existing array-processing techniques. The resulting schemes are shown to be robust to source motions. Some of the limitations of this approach have been discussed and how they can be overcome is demonstrated.

References

    1. 1)
      • J. Capon . High resolution frequency–wavenumber spectrum analysis. Proc. IEEE , 2 , 1408 - 1418
    2. 2)
      • Lee, S.-K., White, P.R.: `Detection of impulsive sound and vibration signals using the sliced Wigner fourth order moment spectra (SWFOMS)', Proc. Inter-Noise 99, 1999, p. 1593–1596.
    3. 3)
    4. 4)
      • L. Cohen . (2000) Time frequency analysis: theory and applications.
    5. 5)
      • J.K. Hammond , P.R. White . The analysis of non-stationary signals using time-frequency methods. J. Sound Vibration Res. , 3 , 419 - 447
    6. 6)
    7. 7)
      • Schmidt, R.O.: `A signal subspace approach to multiple emitter location and spectral estimation', 1982, PhD, Stanford University.
    8. 8)
      • H.L. Van Trees . (2003) Optimum array processing, part IV of Detection estimation, and modulation theory.
    9. 9)
      • LJ. Stanković . The auto-term representation by the reduced interference distributions: the procedure for a kernel design. IEEE Trans. Signal Process. , 6 , 1557 - 1564
    10. 10)
      • Hayward, S.D.: `Adaptive beamforming for rapidly moving arrays', Int. Conf. on Radar, 1996, p. 480–483.
    11. 11)
      • T.A.C.M. Claasen , W.F.G. Mecklenbrauker . The Wigner distribution – a tool for time-frequency signal analysis Part II: Discrete time signals. Phillips J. Res. , 3 , 276 - 300
    12. 12)
      • F. Hlawatsch , G. Boudreaux-Bartels . Linear and quadratic time-frequency representations. IEEE Signal Process. Mag. , 2 , 21 - 66
    13. 13)
      • S.-K. Lee , P.R. White . The L-Wigner distribution and its use as a tool for condition monitoring. Int. J. Comadem , 1 , 5 - 11
    14. 14)
      • I.J. Clarke , S. Haykin . (1991) The IMP algorithm, Advances in spectrum analysis and array processing.
    15. 15)
      • D.W. Tufts , R. Kumaresan . Estimation of frequencies of multiple sinusoids: making linear prediction perform like maximum likelihood. Proc. IEEE , 975 - 989
    16. 16)
      • V. Katkovnik . A new concept of adaptive beamforming for moving sources and impulsive noise. Signal Process. , 9 , 1863 - 1882
    17. 17)
      • S.U. Pillai . (1989) Array signal processing.
    18. 18)
      • Zatman, M.A.: `Superresolution direction finding with rotating arrays', 34thAsilomar Conf., 2000, p. 36–40.
    19. 19)
    20. 20)
      • V. Katkovnik , A. Gershman . Local polynomial approximation based beamforming for source localisation and tracking in non-stationary environments. IEEE Signal Process. Lett. , 1 , 3 - 5
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