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Related Experiment Video

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A novel ultrasonic array signal processing scheme for wind measurement.

Xinbo Li1, GeYan Zhu2, Wei Gao2

  • 1School of Communication Engineering, Jilin University, Renmin Street No. 5988, Changchun 130022, China; School of Mechanical Science and Engineering, Jilin University, Renmin Street No. 5988, Changchun 130022, China.

ISA Transactions
|August 29, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a new ultrasonic array method for accurate wind speed and direction measurement. The novel approach overcomes limitations of traditional systems, validated by hardware experiments.

Keywords:
Array signal processingCRB analysisEstimation varianceUltrasonic sensor arrayWind measurement

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Area of Science:

  • Acoustics
  • Meteorology
  • Signal Processing

Background:

  • Accurate wind measurement is crucial for various applications, including meteorology and renewable energy.
  • Traditional wind sensors face limitations in precision and ambiguity, especially in complex airflow conditions.

Purpose of the Study:

  • To propose a novel ultrasonic array signal processing scheme for enhanced wind speed and direction measurement.
  • To address and theoretically discuss the ambiguity problem inherent in traditional uniform line array (ULA) structures.

Main Methods:

  • Development and illustration of two distinct ultrasonic array structures.
  • Proposal of a corresponding array signal processing method tailored for wind measurement.
  • Derivation of the statistical performance, including estimation variance and Cramer-Rao Bound (CRB).

Main Results:

  • Theoretical analysis and discussion of the ambiguity problem in ULA structures.
  • Derivation of statistical performance metrics for the proposed scheme.
  • Experimental validation of the proposed wind measurement method using hardware.

Conclusions:

  • The novel ultrasonic array signal processing scheme offers a feasible and potentially more accurate method for wind measurement.
  • The proposed method effectively addresses limitations found in traditional ultrasonic wind sensing techniques.