Variance of least squares estimators for a damped sinusoidalprocess

  • Authors:
  • Ying-Xian Yao;S.M. Pandit

  • Affiliations:
  • PTPD, Ford Motor Co., Redford, MI;-

  • Venue:
  • IEEE Transactions on Signal Processing
  • Year:
  • 1994

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Abstract

The variance of least squares estimators for the parameter estimation of a damped sinusoidal process is analyzed, based on first-order perturbation. Analytical expressions for the variances of the frequency, damping factor, amplitude, and phase estimators are derived. Explicit expressions are given for both damped and undamped single-mode cases. The effect of mode separation on the accuracy is investigated through the two-mode case. The dependence of the variances on number of data points, model order, signal-to-noise ratio, and mode separation is investigated, both analytically and numerically, for practical applications. Extensive Monte Carlo simulation results are given to verify, enhance, and illustrate the analytical expressions