A Fast-implemented Signal Identification Scheme for Active Blanket Jamming

Abstract

Active blanket jamming has become universal in modern electronic countermeasure (ECM). The jammers transmit high-power jamming signals to attack victim radars, making it difficult to obtain useful information. Unfortunately, with the continuous development of jamming theory, increasing blanket jamming types are emerging, which further increase the difficulty for radar systems to counter jamming accordingly. In view of the current complex electromagnetic environment, this paper analyzes the signal models of five typical active blanket jammings. According to the different characteristics of these jamming forms, various features are extracted for jamming identification. Simulations have proved the feasibility of jamming discrimination with the selected features, and a blanket jamming identification scheme is thus proposed based on the decision tree strategy. It is worth noting that the identification procedure is accomplished via time-domain or frequency-domain features, which saves considerable computing resources and is therefore suitable for fast implementation in practical engineering.