The Hilbert-Huang Transform Associated with the Linear Canonical Transform

A new Hilbert-Huang transform associated with the linear canonical transform is introduced in this paper. Based on the defined Hilbert-Huang transform associated with the linear canonical transform, the parameter detection for multi- component linear frequency modulation (LFM) signals is discussed. The proposed method decomposes the multi- component LFM signals into intrinsic mode functions (IMF) by empirical mode decomposition (EMD) firstly. Then the LFM component is detected by finding the peaks and their locations in the parameter domain. Finally, the simulation experiments are performed to verify the correctness of the proposed method.

[1]  Wang Xiaotong,et al.  Generalized Hilbert transform and its properties in 2D LCT domain , 2009 .

[2]  N. Huang,et al.  A new view of nonlinear water waves: the Hilbert spectrum , 1999 .

[3]  Qiwen Ran,et al.  Multichannel sampling expansion in the linear canonical transform domain and its application to superresolution , 2011 .

[4]  Yu Sheng-lin,et al.  Hilbert—Huang transform and its application , 2007 .

[5]  Marvin K. Simon,et al.  Spread spectrum communications handbook (revised ed.) , 1994 .

[6]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[7]  Soo-Chang Pei,et al.  Relations between fractional operations and time-frequency distributions, and their applications , 2001, IEEE Trans. Signal Process..

[8]  Y C Fung,et al.  Engineering analysis of biological variables: an example of blood pressure over 1 day. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[9]  M. Skolnik,et al.  Introduction to Radar Systems , 2021, Advances in Adaptive Radar Detection and Range Estimation.

[10]  Ahmed I. Zayed Hilbert transform associated with the fractional Fourier transform , 1998, IEEE Signal Processing Letters.

[11]  Boualem Boashash,et al.  Adaptive instantaneous frequency estimation of multi-component FM signals , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[12]  Sergio Barbarossa,et al.  Analysis of multicomponent LFM signals by a combined Wigner-Hough transform , 1995, IEEE Trans. Signal Process..

[13]  Fu Ying,et al.  Detection and parameter estimation of multicomponent LFM signals based on Hilbert-Huang Hough transform , 2009, 2009 Asia-Pacific Conference on Computational Intelligence and Industrial Applications (PACIIA).

[14]  Ran Tao,et al.  The Poisson sum formulae associated with the fractional Fourier transform , 2009, Signal Process..

[15]  Tao Ran,et al.  Hilbert Transform Associated with the Linear Canonical Transform , 2006 .

[16]  Yingxiong Fu,et al.  Generalized analytic signal associated with linear canonical transform , 2008 .

[17]  S. Hahn Hilbert Transforms in Signal Processing , 1996 .

[18]  Paul G. Flikkema,et al.  Spread-spectrum techniques for wireless communication , 1997, IEEE Signal Process. Mag..

[19]  Qiwen Ran,et al.  Reconstruction of band-limited signals from multichannel and periodic nonuniform samples in the linear canonical transform domain , 2011 .

[20]  Moeness G. Amin,et al.  Interference mitigation in spread spectrum communication systems using time-frequency distributions , 1997, IEEE Trans. Signal Process..

[21]  Ran Tao,et al.  New sampling formulae related to linear canonical transform , 2007, Signal Process..