Adaptive Optimal Kernel Smooth-Windowed Wigner-Ville Distribution for Digital Communication Signal. (22nd March 2009)

• Record Type: Journal Article
• Authors: Tan Tan, Jo Lynn Jo Lynn; Sha'ameri Sha'ameri, Ahmad Zuri bin Ahmad Zuri bin
• Other Names: Merched Merched Ricardo Ricardo Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2008(2008)
• Publication Date: 2009-03-22
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2008/408341
• Languages: English
• ISSNs: 1687-6172

Abstract

Abstract : Time-frequency distributions (TFDs) are powerful tools to represent the energy content of time-varying signal in both time and frequency domains simultaneously but they suffer from interference due to cross-terms. Various methods have been described to remove these cross-terms and they are typically signal-dependent. Thus, there is no single TFD with a fixed window or kernel that can produce accurate time-frequency representation (TFR) for all types of signals. In this paper, a globally adaptive optimal kernel smooth-windowed Wigner-Ville distribution (AOK-SWWVD) is designed for digital modulation signals such as ASK, FSK, and M-ary FSK, where its separable kernel is determined automatically from the input signal, without prior knowledge of the signal. This optimum kernel is capable of removing the cross-terms and maintaining accurate time-frequency representation at SNR as low as 0 dB. It is shown that this system is comparable to the system with prior knowledge of the signal.