An improved smooth-windowed Wigner-Ville distribution analysis for voltage variation signal

Mustafa Manap (Universiti Teknikal Malaysia Melaka)
Abdul Rahim Abdullah (Universiti Teknikal Malaysia Melaka)
Srete Nikolovski (University of Osijek)
Tole Sutikno (Universitas Ahmad Dahlan)
Mohd Hatta Jopri (Universiti Teknikal Malaysia Melaka)

International Journal of Electrical and Computer Engineering
Vol 10, No 5: October 2020

This paper outlines research conducted using bilinear time-frequency distribution (TFD), a smooth-windowed wigner-ville distribution (SWWVD) used to represent time-varying signals in time-frequency representation (TFR). Good time and frequency resolutions offer superiority in SWWVD to analyze voltage variation signals that consist of variations in magnitude. The separable kernel parameters are estimated from the signal in order to get an accurate TFR. The TFR for various kernel parameters is compared by a set of performance measures. The evaluation shows that different kernel settings are required for different signal parameters. Verification of the TFD that operated at optimal kernel parameters is then conducted. SWWVD exhibits a good performance of TFR which gives high peak-to-side lobe ratio (PSLR) and signal-to-cross-terms ratio (SCR) accompanied by low main-lobe width (MLW) and absolute percentage error (APE). This proved that the technique is appropriate for voltage variation signal analysis and it essential for development in an advanced embedded system.