Signal Separation and Synthesis in the Wigner-Ville Distribution Domain with Fractional Fourier Transform

DOI

10.2991/asei-15.2015.12How to use a DOI?

Keywords

Gaussian White Noise, Wavelet Shrinkage Denoising, Fractional Fourier Transform, Wigner-Ville Distribution, Signal Synthesis.

Abstract

In this paper we propose a new method to separate the composite signal which consist of sinusoidal signals and chirp signal utilizing the time-frequency (TF) window in the Wigner-Ville Distribution (WVD) domain. The signal is reconstructed from the TF domain based on the Wigner Distribution Synthesis (WDS) techniques. An impulse is obtained from linear chirp signal after using Fractional Fourier Transform (FrFT) with an optimal rotate angle in the TF domain. The impulse is windowed to extract chirp signal. Wavelet Shrinkage Denosing (WSD) technique is developed as a preprocessing of original signal to suppress the Gaussian white noise. Simulation results show that the proposed method performs better in terms of separation of sinusoidal signals and chirp signal which overlap in both time and spectra.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haitao Cao
AU  - Gaoyong Luo
PY  - 2015/05
DA  - 2015/05
TI  - Signal Separation and Synthesis in the Wigner-Ville Distribution Domain with Fractional Fourier Transform
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 53
EP  - 56
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.12
DO  - 10.2991/asei-15.2015.12
ID  - Cao2015/05
ER  -