Artificial Intelligence Aided Electronic Warfare Systems- Recent Trends and Evolving Applications
| Autor: | Kandarpa Kumar Sarma, Purabi Sharma, Nikos E. Mastorakis |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Artificial intelligence
electronic warfare General Computer Science Computer science Emerging technologies 02 engineering and technology Domain (software engineering) law.invention ESM law 0202 electrical engineering electronic engineering information engineering General Materials Science Radar Electronic warfare Radar tracker ECM ECCM business.industry General Engineering deep neural network 020206 networking & telecommunications Electronic countermeasure 020201 artificial intelligence & image processing lcsh:Electrical engineering. Electronics. Nuclear engineering business lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 8, Pp 224761-224780 (2020) |
| ISSN: | 2169-3536 |
| Popis: | Electronic warfare (EW) is one of the most important characteristics of modern battles. EW can affect a military force’s use of the electromagnetic spectrum to detect targets or to provide information. Recent developments in artificial intelligence (AI) suggest that this emerging technology will have a deterministic and potentially transformative influence on military power. AI driven algorithms can be very effective in diverse domain of EW like processing of radar signals for efficient recognition and classification of emitters, detection of jammer and its characteristics and for developing efficient anti-jamming algorithms. AI techniques can also enable an EW system to operate autonomously. This paper provides a description of various branches of EW, the role of AI in EW systems and different AI techniques that have been deployed in EW systems. |
| Databáze: | OpenAIRE |
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