A new algorithm for multipath time delay estimation in low SNR using MLE method

Author

Moghaddam, P.H. ; Amindavar, Hainidreza

Author_Institution

Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran

fYear

1998

fDate

15-17 Apr 1998

Firstpage

35

Lastpage

38

Abstract

In this paper, we consider the effects of multipath on a white random process which might have originated from an acoustic source in the far field. This process is observed along with a white noise. Maximum likelihood technique (ML) is being used to estimate the time delays caused by a dispersive environment. We also prove that at low SNR, ML technique to estimate time delays corresponds to the technique of minimizing output autocorrelation. Then, we present a new algorithm to obtain time delays using autocorrelation maximization. In this paper, we also perform the algorithm on a wideband signal and remove the effects of multipath

Keywords

acoustic correlation; acoustic signal detection; delays; maximum likelihood estimation; multipath channels; parameter estimation; sonar; underwater sound; white noise; MLE method; acoustic source; autocorrelation maximization; dispersive environment; low SNR; maximum likelihood technique; multipath time delay estimation; output autocorrelation minimization; sonar; time delays; white noise; white random process; wideband signal; Autocorrelation; Delay effects; Delay estimation; Dispersion; Maximum likelihood estimation; Sensor arrays; Signal processing; Signal to noise ratio; White noise; Wideband;

fLanguage

English

Publisher

ieee

Conference_Titel

Underwater Technology, 1998. Proceedings of the 1998 International Symposium on

Conference_Location

Tokyo

Print_ISBN

0-7803-4273-9

Type

conf

DOI

10.1109/UT.1998.670054

Filename

670054