Adaptive imitating jamming signal generation
Jerzy Łopatka · 2002
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.>