Frequency Estimation Enhancement for Industrial Free Induction Decay Signals Under Low SNR via Hankelization and Modified Covariance-Reference-Cited by-同舟云学术

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Frequency Estimation Enhancement for Industrial Free Induction Decay Signals Under Low SNR via Hankelization and Modified Covariance

Published:2023 Issue: Volume:72 Page:1-9
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Liu Huan¹^ORCID,Wang Zehua¹^ORCID,Meng Tao¹^ORCID,Dong Haobin¹^ORCID,Liu Zheng²^ORCID,Hu Xiangyun³^ORCID

Affiliation:

1. School of Automation, China University of Geosciences, Wuhan, China

2. School of Engineering, Faculty of Applied Science, University of British Columbia Okanagan Campus, Kelowna, BC, Canada

3. Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10036048.pdf?arnumber=10036048

Reference30 articles.

1. Sensitivity to Frequency Uncertainty of the Estimators Provided by the Two-Parameter Sine-Fit Algorithm

2. Efficient Implementation of Least Squares Sine Fitting Algorithms

3. A high-precision and fast-sampling frequency measurement method based on FPGA carry chain for airborne optically pumped cesium magnetometer

4. A Novel Adaptive Frequency Estimation Algorithm Based on Interpolation FFT and Improved Adaptive Notch Filter

5. Frequency Estimation from Few Measurements

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