| Paper: | SPTM-P3.3 | ||
| Session: | Time-Frequency Distributions | ||
| Time: | Wednesday, May 19, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Non-stationary Signals & Time-Frequency Analysis | ||
| Title: | ROBUST POLYNOMIAL WIGNER-VILLE DISTRIBUTION FOR THE ANALYSIS OF POLYNOMIAL PHASE SIGNALS IN ALPHA-STABLE NOISE | ||
| Authors: | Mounir Djeddi; Laboratoire des signaux et systèmes, SUPÉLEC | ||
| Messaoud Benidir; Laboratoire des signaux et systèmes, SUPÉLEC | |||
| Abstract: | The polynomial Wigner-Ville Distribution (PWVD) is the mostsuitable Time-Frequency Representation (TFR) of non-stationarysignals which can be modelled by polynomial phase signals. It is a very efficient signal analysis tool both in the case of additive and multiplicative Gaussian noise. However in many real life applications, noise can be non Gaussian. Hence the PWVD fails to produce satisfactory results. On the other hand, it is well known that Fractional Lower-Order Statistics (FLOS) are signal processing tools that tend to resist outliers observed in signals.In this paper, we propose a new robust FLOS-based PolynomialWigner-Ville Distribution which we call the Fractional Lower-Order Polynomial Wigner-Ville Distibution (FLOPWVD). The latter is able to reveal the instantaneous frequency of the high order polynomial phase signal (PPS) in the presence of impulsive noise modelled by alpha-stable distribution. This new Time-Frequency Distribution outperforms the standard PWVD as will be shown in simulation results. | ||
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