Title :
Time-delay estimation of signals in nonstationary random noise via stationarization and Wigner distribution-based approach
Author :
Ijima, Hiroshi ; Ohsumi, Akira ; Yamaguchi, Satoshi
Author_Institution :
Grad. Sch. of Sci. & Technol., Kyoto Inst. of Technol., Kyoto, Japan
Abstract :
An effective method is proposed in this paper for the estimation problem of unknown time-delay of a signal which is received corrupted by the nonstationary random noise. The keys of the method are the stationarization of the nonstationary observation data and the introduction of Wigner distribution-based maximum likelihood function. The method is tested by simulations to show the efficacy.
Keywords :
Wigner distribution; delay estimation; maximum likelihood estimation; signal processing; Wigner distribution approach; maximum likelihood function; nonstationary random noise; stationarization approach; time-delay signal estimation; Abstracts; Delays; Equations; Maximum likelihood estimation; Noise;
Conference_Titel :
Signal Processing Conference, 2006 14th European
Conference_Location :
Florence
