Conference Proceeding

Accuracy improvement of the wigner distribution estimate in non-Gaussian noise environment by means of clipping technique application

03/2008; pp.362 - 365 In proceeding of: Modern Problems of Radio Engineering, Telecommunications and Computer Science, 2008 Proceedings of International Conference on
Source: IEEE Xplore

ABSTRACT Wigner distribution (WD) is known to be one of the most convenient time-frequency representations for FM signal analysis in Gaussian noise environment. However, in case of impulsive interferences, WD occurs to be non -robust to noise. For improving robustness of the WD, it is proposed to use filtering approach based on the clipping technique. It can be applied at one of the following two stages: for filtering input FM signal or for local autocorrelation function processing. Based on the fact that there are two robust estimators of FM signal amplitude, four new methods for obtaining WD are proposed. The comparative analysis has been performed for two test signals - harmonic and linear FM ones. It is shown that the proposed methods allow considerable improving the accuracy of WD both for impulse noise environments and Gaus sian noise.

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Keywords

clipping technique
 
comparative analysis
 
convenient time-frequency representations
 
FM signal amplitude
 
FM signal analysis
 
Gaus sian noise
 
Gaussian noise environment
 
impulsive interferences
 
input FM signal
 
linear FM ones
 
local autocorrelation function processing
 
new methods
 
proposed methods
 
test signals
 
WD
 
Wigner distribution