DocumentCode :
2500954
Title :
Wigner analysis in problem of ultra-wideband signal detection with noise presents
Author :
Chernogor, L.F. ; Lazorenko, O.V.
Author_Institution :
Karazin Kharkiv Nat. Univ., Kharkiv, Ukraine
fYear :
2012
fDate :
17-21 Sept. 2012
Firstpage :
288
Lastpage :
290
Abstract :
The Wigner transform well known as the square time-frequency transform from Cohen´s class for solving of problem of the ultra-wideband signal detection with presents of additive weakly correlated noise with non-Gaussian distribution was proposed. The general properties, advantages and disadvantages of the Wigner transform were discussed. Using proposed detection algorithm based on the Wigner analysis, for some simple models of ultra-wideband signals in time domain the problem of ultra- wideband signal detection with presents of noise with uniform distribution was solved. The results obtained and the algorithm peculiarities were discussed.
Keywords :
signal detection; time-frequency analysis; transforms; Wigner analysis; Wigner transform; additive weakly-correlated noise; nonGaussian distribution; square time-frequency transform; time domain; ultrawideband signal detection; ultrawideband signal model; Additives; Noise; Signal detection; Time domain analysis; Time frequency analysis; Transforms; Ultra wideband technology; Cohen´s class; Ultra-wideband signal; Wigner transform; noise presents; non-linear time-frequency representations; signal detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultrawideband and Ultrashort Impulse Signals (UWBUSIS), 2012 6th International Conference on
Conference_Location :
Sevastopol
Print_ISBN :
978-1-4673-1940-9
Type :
conf
DOI :
10.1109/UWBUSIS.2012.6379808
Filename :
6379808
Link To Document :
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