LIU Lubo, LUO Maokang, LAI Li, “Instantaneous Frequency Estimation Based on the Wigner-Ville Distribution Associated with Linear Canonical Transform (WDL),” Chinese Journal of Electronics, vol. 27, no. 1, pp. 123-127, 2018, doi: 10.1049/cje.2017.07.009
Citation: LIU Lubo, LUO Maokang, LAI Li, “Instantaneous Frequency Estimation Based on the Wigner-Ville Distribution Associated with Linear Canonical Transform (WDL),” Chinese Journal of Electronics, vol. 27, no. 1, pp. 123-127, 2018, doi: 10.1049/cje.2017.07.009

Instantaneous Frequency Estimation Based on the Wigner-Ville Distribution Associated with Linear Canonical Transform (WDL)

doi: 10.1049/cje.2017.07.009
Funds:  This work is supported by the National Natural Science Foundation of Youth Science Foundation of China (No.11401405).
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  • Corresponding author: LAI Li (corresponding author) was born in Sichuan Province, China, in 1983. She received the Ph.D. degree from Sichuan University, China, in 2014. She is a lecturer in College of Mathematics of Sichuan University. Her main research interests include uncertainty processing and signal processing. (Email:laill2006@163.com)
  • Received Date: 2015-09-23
  • Rev Recd Date: 2016-03-02
  • Publish Date: 2018-01-10
  • The Instantaneous frequency (IF) is a basic concept in theory and application of signal processing. Wigner-Ville distribution (WVD) is a powerful tool in IF estimation, but it is sensitive to the noise. The Linear canonical transform (LCT) has been proved to be very powerful for non-stationary signal processing. A new definition of Wigner-Ville distribution associated with the linear canonical transform (WDL) has been put forward. In this case, this paper proposes a new IF estimation method which is suitable for processing non-stationary signals. This new method is useful in IF estimation. This new method is more accurate and antinoise than the one based on the WVD. Simulations demonstrated the derived results.
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