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2014 The Wigner-Ville Distribution Based on the Linear Canonical Transform and Its Applications for QFM Signal Parameters Estimation
Yu-E Song, Xiao-Yan Zhang, Chun-Heng Shang, Hong-Xia Bu, Xiao-Yan Wang
J. Appl. Math. 2014: 1-8 (2014). DOI: 10.1155/2014/516457

Abstract

The Wigner-Ville distribution (WVD) based on the linear canonical transform (LCT) (WDL) not only has the advantages of the LCT but also has the good properties of WVD. In this paper, some new and important properties of the WDL are derived, and the relationships between WDL and some other time-frequency distributions are discussed, such as the ambiguity function based on LCT (LCTAF), the short-time Fourier transform (STFT), and the wavelet transform (WT). The WDLs of some signals are also deduced. A novel definition of the WVD based on the LCT and generalized instantaneous autocorrelation function (GWDL) is proposed and its applications in the estimation of parameters for QFM signals are also discussed. The GWDL of the QFM signal generates an impulse and the third-order phase coefficient of QFM signal can be estimated in accordance with the position information of such impulse. The proposed algorithm is fast because it only requires 1-dimensional maximization. Also the new algorithm only has fourth-order nonlinearity thus it has accurate estimation and low signal-to-noise ratio (SNR) threshold. The simulation results are provided to support the theoretical results.

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Yu-E Song. Xiao-Yan Zhang. Chun-Heng Shang. Hong-Xia Bu. Xiao-Yan Wang. "The Wigner-Ville Distribution Based on the Linear Canonical Transform and Its Applications for QFM Signal Parameters Estimation." J. Appl. Math. 2014 1 - 8, 2014. https://doi.org/10.1155/2014/516457

Information

Published: 2014
First available in Project Euclid: 2 March 2015

zbMATH: 07131658
MathSciNet: MR3212503
Digital Object Identifier: 10.1155/2014/516457

Rights: Copyright © 2014 Hindawi

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