Optimum and efficient algorithms for impulsive channel identification

Author

Zabin, Serena M.

Author_Institution

Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

Volume

4

fYear

1992

fDate

23-26 Mar 1992

Firstpage

697

Abstract

The Class A Middleton noise model is a commonly used, statistical-physical parametric model for impulsive interference superimposed on a Gaussian background. An optimum and practically efficient batch estimator of the Class A parameters is proposed, In particular, this estimator is shown to yield strongly consistent and asymptotically efficient estimates of the Class A parameters. Moreover, via an extensive simulation study, it is seen that the proposed estimator yields excellent estimates of the Class A parameters for moderate sample sizes

Keywords

interference (signal); parameter estimation; signal processing; telecommunication channels; Class A Middleton noise model; Gaussian background; algorithms; batch estimator; impulsive channel identification; impulsive interference; signal processing; simulation study; statistical-physical parametric model; Background noise; Electromagnetic interference; Equations; Gaussian noise; Moment methods; Parameter estimation; Parametric statistics; Recursive estimation; Working environment noise; Yield estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on

Conference_Location

San Francisco, CA

ISSN

1520-6149

Print_ISBN

0-7803-0532-9

Type

conf

DOI

10.1109/ICASSP.1992.226302

Filename

226302