Adaptive optimal kernel smooth-windowed Wigner-Ville bispectrum for digital communication signals

Authors:
Jo Lynn Tan;Ahmad Zuri bin Sha'ameri
Affiliations:
Universiti Teknologi Malaysia, Skudai, 81310 Johor, Malaysia;Universiti Teknologi Malaysia, Skudai, 81310 Johor, Malaysia
Venue:
Signal Processing
Year:
2011

Citing 5
Cited 2

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Advanced Topics in Digital Signal Processing
Adaptive optimal kernel smooth-windowed wigner-ville distribution for digital communication signal

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Abstract

Higher-order time-frequency distribution (HO-TFD) outperforms the bilinear TFD in noisy conditions but suffers more severely from cross-terms when used to analyze multi-component signals. Various kernel functions have been introduced to suppress cross-terms in bilinear TFD but in general TFD with a fixed kernel do not give accurate TFR for all type of signals. In this paper, adaptive optimal TFR is obtained by extending the separable kernel design in bilinear TFD to the third-order TFD and is able to achieve accurate time-frequency representation at SNR as low as -2dB. This globally adaptive optimal kernel smooth-windowed Wigner-Ville bispectrum (AOK-SWWVB) is designed where its separable kernel is determined automatically from the input signal, without prior knowledge of the signal parameters. It is shown that this system performance is comparable to the system when priori knowledge of the signal is known.