Passive signature characterization and classification by means of nonlinear dynamics

Author

Lennartsson, Ron K. ; Kadtke, James B. ; Pentek, A.

Author_Institution

Swedish Defence Res. Agency, Stockholm, Sweden

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

186

Lastpage

189

Abstract

We analyze sonar recordings of various boats as well as ambient sea noise using nonlinear dynamical signal models. Specifically, we discuss the estimation of the parameters of nonlinear delay differential equations from data. Using the model parameters as classification features we implement a three class Bayesian minimum-error-rate classifier and demonstrate almost perfect classification of the data set considered. This indicates that classifiers based on nonlinear dynamical models can be useful in sonar applications

Keywords

Bayes methods; delays; noise; nonlinear differential equations; parameter estimation; signal classification; sonar signal processing; Bayesian minimum-error-rate classifier; ambient sea noise; boats; model parameters; nonlinear delay differential equations; nonlinear dynamical signal models; nonlinear dynamics; parameter estimation; passive signature characterization; passive signature classification; sonar recordings; Bayesian methods; Boats; Delay estimation; Differential equations; Laboratories; Parameter estimation; Robustness; Signal processing; Signal processing algorithms; Sonar applications;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on

Print_ISBN

0-7803-7011-2

Type

conf

DOI

10.1109/SSP.2001.955253

Filename

955253