Title :
Adaptive imitating jamming signal generation
Author :
Lopatka, M. Sc Jerzy
Author_Institution :
Inst. of Telecommun. Syst., Mil. Acad. of Technol., Warsaw, Poland
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;
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
DOI :
10.1109/MILCOM.1993.408611
