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A fast and accurate frequency estimation algorithm for sinusoidal signal with harmonic components.

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This study introduces a fast frequency estimation algorithm using a modified zero-crossing technique. The novel method enhances efficiency and accuracy for vibration measurement and sensor control applications.

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Area of Science:

  • Signal Processing
  • Measurement Science

Background:

  • Accurate frequency estimation is crucial for vibration measurement, power systems, and MEMS sensor control.
  • Traditional frequency estimation methods often suffer from low efficiency and high computational complexity.

Purpose of the Study:

  • To propose a fast and accurate frequency estimation algorithm.
  • To address the inefficiency of conventional frequency estimation techniques.

Main Methods:

  • The proposed algorithm employs a two-step approach: coarse and fine frequency estimation.
  • A modified zero-crossing technique is utilized for efficient coarse frequency estimation, improving upon FFT peak-location methods.

Main Results:

  • The algorithm demonstrates superior efficiency compared to traditional searching methods.
  • Experimental results show a root mean square error below 0.032 Hz for modulated magnetic signals.
  • The method requires fewer hardware and software resources, with efficiency increasing with data volume.

Conclusions:

  • The developed algorithm offers a computationally efficient and accurate solution for frequency estimation.
  • It outperforms conventional methods in terms of global performance and resource utilization.
  • The technique is suitable for applications demanding precise and rapid frequency analysis.