Avaliação de desempenho de um sistema MAGE: interceptação e extração de parâmetros de sinais radar de ruído

Abstract

In modern Electronic Warfare (EW) scenarios, Low Probability of Interception (LPI) and Low Probability of Identification (LPID) radars have become more common, challenging defense systems to intensify their methods of protection. Among the radars considered LPI/LPID in the literature, noise radar technology, in particular, has been gaining notoriety in research and development. An advantage of such technology is the greater difficulty of electronic passive interception systems, such as Electronic Support Measures (ESM) systems, in not only intercepting them but also correctly identifying with conventional methods. In this context, the objective of this work is to propose and evaluate, in an environment where an ESM system is being used, methods of interception and automatic extraction of parameters from two possible stochastic waveforms to be employed in a noise radar technology for surveillance. The stage of processing the signal intercepted by an ESM equipment is paramount for the final goal of identifying the emitting platform. In the literature, only waveforms considered LPI/LPID with linear frequency modulation (or that approach this linear variation) were evaluated in this regard. New random modulations must be considered in an EW scenario where noise radar technology is gaining ground. In the technology race, for every improvement in a radar system, improvement in an intercept system can be expected.