Joint time delay and Doppler stretch estimation using wideband signals

Author

Jin, Q. ; Wong, K.M. ; Luo, Z.Q.

Author_Institution

Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada

fYear

1992

fDate

7-9 Oct 1992

Firstpage

18

Lastpage

21

Abstract

The authors discuss the application of the wavelet transform. The theoretical performance is derived. The joint maximum likelihood estimation is presented and the Cramer-Rao lower bound (CRLB) obtained. The joint estimation using the wavelet transform is shown to be more robust, and under high signal to noise ratio it is unbiased and the estimation variance is close to the CRLB for a large variety of signals. All these results are verified by computer simulations. It is demonstrated that the estimation accuracy depends on the signal structure, and the optimum signal structure is strongly related to the form of its wavelet transform

Keywords

Doppler effect; delays; maximum likelihood estimation; parameter estimation; signal processing; wavelet transforms; Cramer-Rao lower bound; Doppler stretch estimation; computer simulations; estimation accuracy; estimation variance; joint maximum likelihood estimation; optimum signal structure; time delay estimation; wavelet transform; wideband signals; Continuous wavelet transforms; Delay effects; Delay estimation; Gaussian noise; Maximum likelihood estimation; Narrowband; Signal to noise ratio; Sonar; Wavelet transforms; Wideband;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-0508-6

Type

conf

DOI

10.1109/SSAP.1992.246838

Filename

246838