An Efficient Parametric Model-based Framework for Recursive Frequency/Spectrum Estimation of Nonstationary Signal

  • Authors

    • Kantipudi MVV Prasad
    • Dr. H.N. Suresh
    • Rajanikanth Aluvalu
    2018-09-25
    https://doi.org/10.14419/ijet.v7i4.6.20227
  • Spectral Estimation, M-Estimation, RecursiveFrequency Estimation, Time-Varying Linear Model, Variable Forgetting Factor.
  • The manuscript intends to a design a general form of computationally efficient parametric mechanism based model to estimate the recursive frequency/spectrum and describe the nonlinear signals which consists of diverse degrees of nonlinearity and and indiscreet units. The time variant frequency estimation is defined as the as a time-varying model recognizable proof issue in which faulty/failure data are evaluated by model coefficients. In this, anestimation approach of QR-disintegration based recursive slightest M-gauge (QRRLM) is utilized for estimation of recursive time-vareint model coefficients in non-linear environment conditionby utilizing M-estimation. Here, a Veriable Forgetting Factor Control (VFFC) are designed to enhance the exection of QRRLM mechanism in nonlinear condition. In this, a hypothetical deduction and re-enactments approaches were used which helps to perform VFFC determination. The resultant VFFC-QRRLM estimation can confine and limit the faulty unitswhile dealing with different degrees of nonlinearvariations. Recreation comes about demonstrate that the proposed VFF-QRRLM calculation is more vigorous and exact than traditional recursive minimum squares-based techniques in evaluating both time-shifting narrowband recurrence segments and broadband otherworldly segments with incautious parts. Potential uses of the proposed technique can be found in quality force checking, online deficiency location, and discourse examination.

     

  • References

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  • How to Cite

    MVV Prasad, K., H.N. Suresh, D., & Aluvalu, R. (2018). An Efficient Parametric Model-based Framework for Recursive Frequency/Spectrum Estimation of Nonstationary Signal. International Journal of Engineering & Technology, 7(4.6), 26-32. https://doi.org/10.14419/ijet.v7i4.6.20227