Nonlinear filtering for a new nimble jammer

Author

Costa, Jean-Pierre ; Pitarque, T. ; Rostaing, Philippe

Author_Institution

CNRS, Biot, France

Volume

3

fYear

1998

fDate

28 Sep-1 Oct 1998

Firstpage

1491

Abstract

In this paper nonlinear filtering results of an underwater jammer application are presented. These results have been obtained after a previous theoretical study on nonlinear identification. The main results presented on real underwater acoustical jammer signals are: (1) a Volterra model is not rich enough for identification of the jammer system, (2) the NARMAX model with an OLS algorithm identification, gives satisfactory results for detection and estimation of the unknown tone SOI, (3) better results (estimation and detection) are obtained with a BPSK sequence in comparison with a RMS sequence usually used for nonlinear identification

Keywords

Volterra series; autoregressive moving average processes; binary sequences; frequency agility; frequency estimation; jamming; least squares approximations; maximum likelihood detection; maximum likelihood sequence estimation; modelling; nonlinear filters; phase shift keying; random processes; signal sampling; underwater acoustic propagation; BPSK sequence; NARMAX model; OLS algorithm identification; RMS sequence; Volterra model; bilinear model; frequency estimation; nimble jammer; nonlinear ARMAX; nonlinear filtering; nonlinear identification; underwater jammer; unknown tone SOI; Bandwidth; Binary phase shift keying; Ear; Filtering; Frequency estimation; Jamming; Narrowband; Nonlinear filters; Signal processing; Underwater tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS '98 Conference Proceedings

Conference_Location

Nice

Print_ISBN

0-7803-5045-6

Type

conf

DOI

10.1109/OCEANS.1998.726319

Filename

726319