Instantaneous frequency estimation of FM signals by Ψ B -energy operator
Abdel‐Ouahab Boudraa
Abstract
Abdel‐Ouahab Boudraa
Abstract
The ΨB energy operator is an extension of the cross-Teager-Kaiser energy operator which is a nonlinear energy tracking operator to deal with complex signals and its usefulness for non-stationary signals analysis has been demonstrated. Two new properties of ΨB are established. The first property is the link between ΨB and the dynamic signal which is a generalisation of the instantaneous frequency (IF). The second property obtained for frequency modulated (FM) signals is a simple way to estimate the IF. These properties confirm the interest of the ΨB operator to track the non-stationarity of a signal. Results of IF estimation in a noisy environment of a nonlinear FM signal are presented and comparison to the Wigner-Ville distribution and the Hilbert transform-based method is provided.
OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The ΨB energy operator is an extension of the cross-Teager-Kaiser energy operator which is a nonlinear energy tracking operator to deal with complex signals and its usefulness for non-stationary signals analysis has been demonstrated. Two new properties of ΨB are established. The first property is the link between ΨB and the dynamic signal which is a generalisation of the instantaneous frequency (IF). The second property obtained for frequency modulated (FM) signals is a simple way to estimate the IF. These properties confirm the interest of the ΨB operator to track the non-stationarity of a signal. Results of IF estimation in a noisy environment of a nonlinear FM signal are presented and comparison to the Wigner-Ville distribution and the Hilbert transform-based method is provided.
Key concepts: Energy operator, Instantaneous phase, Energy (signal processing), SIGNAL (programming language), Operator (biology), Mathematics, Hilbert transform, Analytic signal