Time-delay estimation of signals in nonstationary random noise via stationarization and Wigner distribution-based approach

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.