Abstract:

Analyzing the interference environment in which the frequency-hopping（FH）communication system is located can help both the participants in communication take corresponding anti-interference measurements for specific types of interference. Follower jamming and barrage jamming are very useful jamming method to the FH communication system. The existing jamming-resisted algorithms may work well for certain interference. The proper anti-jamming measures can be implemented for different interferences. It focused on the barrage jamming recognition of the frequency hopping-Gaussian filtered minimum shift keying（FH-GMSK）communication system. Based on the interference characteristics extracted from the receiving signals in the view of time,frequency and time-frequency domains, a set of characteristic parameters was picked up, which were robust and insensitive to the recognition signal to jamming ratio（SNR_R）. And it can automatically identify the barrage jamming without the prior knowledge. The simulation result proves that there is a much more accurate recognition rate for the FH communication system under the usual interferences with the different SNR_R.

Key words: GMSK modulation, frequency-hopping communication, feature extraction, barrage jamming, interference, recognition