Adaptive imitating jamming signal generation

Author

Lopatka, M. Sc Jerzy

Author_Institution

Inst. of Telecommun. Syst., Mil. Acad. of Technol., Warsaw, Poland

Volume

2

fYear

1993

fDate

11-14 Oct 1993

Firstpage

532

Abstract

A new method of jamming signal generation for narrowband emissions is presented. The jammed signal is divided into quasistationary segments, using prediction error analysis. For spectrum estimation the autoregressive modeling is used. Autoregressive model parameters, information on segment duration and appearance frequency are used for signal recognition and classification. Jamming signal is a pseudorandom sequence of autoregressive processes, with spectral densities corresponding to received segments´ characteristics

Keywords

adaptive estimation; autoregressive processes; error analysis; jamming; military communication; modelling; pattern classification; prediction theory; sequences; spread spectrum communication; adaptive estimation; appearance frequency; autoregressive modeling; jamming signal generation; narrowband emissions; prediction error analysis; pseudorandom sequence; quasistationary segments; segment duration; signal classification; signal recognition; spectral densities; Autoregressive processes; Filters; Frequency; Jamming; Noise generators; Parameter estimation; Signal generators; Signal processing; Signal resolution; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Military Communications Conference, 1993. MILCOM '93. Conference record. Communications on the Move., IEEE

Conference_Location

Boston, MA

Print_ISBN

0-7803-0953-7

Type

conf

DOI

10.1109/MILCOM.1993.408611

Filename

408611