New Adaptive Algorithm for Unbiased and Direct Estimation of Sinusoidal Frequency

  • Authors:

  • Thomas Pitschel;Hing-Cheung So;Jun Zheng

  • Affiliations:

  • -;-;-

  • Venue:
  • IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
  • Year:
  • 2008

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Abstract

A new adaptive filter algorithm based on the linear prediction property of sinusoidal signals is proposed for unbiased estimation of the frequency of a real tone in white noise. Similar to the least mean square algorithm, the estimator is computationally simple and it provides unbiased as well as direct frequency measurements. Learning behavior and variance of the estimated frequency are derived and confirmed by computer simulations.