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A new strategy for the suppression of cross-terms in pseudo Wigner–Ville distribution

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Abstract

The pseudo Wigner–Ville distribution (PWVD) provides an ideal auto-term concentration in the time–frequency domain. However, due to the bilinearity transform of the PWVD, the cross-terms are always distributed between the auto-terms for multiple-component signals. This paper takes the advantage of this regularity, combines the pseudo Wigner–Ville distribution with a scan and track algorithm, preserves the favorable properties of the PWVD, and removes the well-known cross-terms effects. The experimental results demonstrate the validity of the proposed method through some numerical examples with the frequency modulated signals.

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Acknowledgments

This work is partially supported by the Fundamental Research Funds for the Central Universities with Grant Nos. K50510040013 and K5051304007, the Natural Science Foundation of China under Grant No. 61374068, and the Science and Technology Development Fund, MSAR, under Grant No. 066/2013/A2.

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Correspondence to An Ren.

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Ren, H., Ren, A. & Li, Z. A new strategy for the suppression of cross-terms in pseudo Wigner–Ville distribution. SIViP 10, 139–144 (2016). https://doi.org/10.1007/s11760-014-0713-9

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  • DOI: https://doi.org/10.1007/s11760-014-0713-9

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