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A Conceptual Architecture of Cognitive Electronic Warfare System

Authors:
Qinghan Xiao

Keywords: Adaprive electronic warfare; cognitive electronic warfare; machine leaning; cognitive thinking

Abstract:
The major motivation behind research on cognitive Electronic Warfare (EW) is the requirement to defeat modern radar systems using emerging technologies, especially cognitive algorithms. Using cognition-based techniques, a radar system would be able to perceive its operational environment, fine-tune and accordingly adjust its emission parameters, such as the pulse width, pulse repetition interval, and transmitter power, to perform its assigned task optimally. It is certain that traditional EW methods, which rely on pre-programmed attack strategies, will not be able to efficiently engage with modern radar threats. Therefore, the next generation of EW systems needs to be enhanced with cognitive abilities so that they can make autonomous decisions in response to changing situations, and cope with new, unknown radar signals. In this paper, a conceptual architecture of a cognitive EW system is presented. The system consists of five major functional components, namely: environmental perception to observe the operational environment; intelligent signal analysis to assess and characterize electromagnetic spectrum signals emitted by enemy radars; a cognitive thinking module to produce close-to-optimal jamming solutions; a dynamic knowledge base that continues to grow during the operation; and a feedback loop as a facilitator of intelligence to improve the jamming performance. The system architecture and functional modules are described in detail.

Pages: 38 to 42

Copyright: (c) Her Majesty the Queen in Right of Canada (Department of National Defence), 2018 / Sa Majesté la Reine en droit du Canada (Ministère de la Défense nationale), 2018

Publication date: February 18, 2018

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-609-5

Location: Barcelona, Spain

Dates: from February 18, 2018 to February 22, 2018