High-Precision Ultrasonic Anemometry System Based on Polyvinylidene Fluoride Piezoelectric Film and Variational Mode Decomposition-Extended Kalman Filter Joint Optimization.

Haodong Niu, Yunbo Shi, Kuo Zhao, Jinzhou Liu, Qinglong Chen, Xiaohui Yang

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Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Haodong NiuSchool of Measurement and Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China.

Yunbo ShiSchool of Measurement and Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China.ORCID 0000-0003-4605-9721

Kuo ZhaoSchool of Measurement and Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China.

Jinzhou LiuSchool of Measurement and Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China.

Qinglong ChenSchool of Measurement and Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China.

Xiaohui YangSchool of Measurement and Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China.

Funding

China National Basic Enhancement Program 2022-JCJQ-JJ-0438National Natural Science Foundation of China 62271176

6 · The paper itself

Abstract

Ultrasonic wind speed measurements performed in complex flow fields face challenges related to low signal-to-noise ratio (SNR) and non-stationary waveform distortion. In this study, we aim to address this issue by proposing a measurement system that employs a polyvinylidene fluoride (PVDF) piezoelectric film ultrasonic transducer integrated with a microphone (MIC). In addition, a signal processing framework is proposed based on the joint optimization of variational mode decomposition (VMD) and an extended Kalman filter (EKF) and integrating cross-correlation interpolation. By leveraging the low Q-factor and wide bandwidth characteristics of the PVDF, the system achieved omnidirectional transmission and high-fidelity reception within a compact structural design. The experimental results demonstrated that the proposed VMD-reference signal-assisted EKF method enhanced the SNR by approximately 26% and reduced the wind speed measurement error by approximately 35% compared with the conventional EKF. The proposed system exhibited superior robustness and measurement linearity across a wide wind speed range of 0-60 m/s. The proposed scheme significantly enhances the accuracy and environmental adaptability of ultrasonic wind speed measurements and provides an essential theoretical basis and engineering reference for the development of precision instruments in fields such as meteorological monitoring and wind energy assessment.

Indexed as

extended Kalman filterpolyvinylidene fluorideultrasonic anemometryvariational mode decomposition

Identifiers

PMID41829443

DOI10.3390/s26051482

PMCPMC12987245

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.