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Cognitive Electronic Warfare: Conceptual Design and Architecture
Qinghan Xiao
Pages - 48 - 65     |    Revised - 30-11-2020     |    Published - 31-12-2020
Volume - 9   Issue - 3    |    Publication Date - December 2020  Table of Contents
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KEYWORDS
Cognitive Electronic Warfare, Intelligent System Architecture, Previously Unknown Threat, Feedback-Based Decision-Making.
ABSTRACT
Computing revolution is heralding the transition from digital to cognitive that is the third significant era in the history of computer technology: the cognitive era. It is about the use of computers to mimic human thought processes, such as perception, memory, learning and decision-making in highly dynamic environments. In recent years, there is a growing research interest in the development of cognitive capabilities in radio frequency technologies. 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 electronic warfare (EW) methods, which rely on pre-programmed attack strategies, will not be able to efficiently engage with such a radar threat. 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. Because the system architecture is a blueprint, this paper presents a conceptual cognitive EW architecture that carries out both electronic support and electronic attack operations to synthesize close-to-optimal countermeasures subject to performance goals.
A. Gliozzo, C. Ackerson, R. Bhattacharya, A. Goering, A. Jumba, S. Y. Kim, L. Krishnamurthy, T. Lam, A. Littera, I. McIntosh, S. Murthy and M. Ribas. (2017, Jun.). Building Cognitive Applications with IBM Watson Services: Volume 1 Getting Started. [On-line]. IBM Redbooks. Available: http://www.redbooks.ibm.com/redbooks/pdfs/sg248387.pdf [Dec. 10, 2020].
A. J. Butt, N. A. Butt, A. Mazhar, Z. Khattak and J. A. Sheikh. “The soar of cognitive architectures”. In Proc. 2013 International Conference on Current Trends in Information Technology, 2013, pp. 135-142.
A. K. Noor. (2015). “Potential of cognitive computing and cognitive systems”. Open Engineering. [On-line]. 5(1), pp. 75-88. Available: https://digitalcommons.odu.edu/cgi/viewcontent.cgi?article=1018&context=msve_fac_pubs [Dec. 10, 2020].
A. M. Jones. “Performance Prediction of Constrained Waveform Design for Adaptive Radar”. Ph.D. thesis, Wright State University, United States, 2016.
A. Ranadive. “Cognitive Systems And Artificial Intelligence, According to IBM”. Internet:https://medium.com/@ameet/cognitive-systems-and-artificial-intelligence-according-to-ibm-eb03f4d663b6, Jan. 7, 2017 [Dec. 10, 2020].
B. Merritt. The Digital Revolution. Morgan & Claypool Publishers, 2016.
C. Adams. “Cognitive Electronic Warfare: Radio Frequency Spectrum Meets Machine Learning”, Internet: http://interactive.aviationtoday.com/avionicsmagazine/august-september-2018/cognitive-electronic-warfare-radio-frequency-spectrum-meets-machine-learning/, Aug./Sep. 2018 [Dec. 10, 2020].
C. D. Wickens and J. G. Hollands. Engineering Psychology and Human Performance, 3rd ed. New Jersey: Prentice-Hall, Upper Saddle River, 2000.
C. F. Beckmann and S. M. Smith. “Probabilistic independent component analysis for functional magnetic resonance imaging”. IEEE Transactions on Medical Imaging, vol. 23, pp. 137-152, Feb. 2004.
C. Horne, M. Ritchie and H. Griffiths. “Proposed ontology for cognitive radar systems”, IET Radar, Sonar and Navigation, vol.12, pp. 1363-1370, Dec. 2018.
C. Tromp. “The diffusion and implementation of innovation”, Innovative Studies: International Journal, vol. 2, pp. 18-30, Dec. 2012.
D. A. Norman. “Cognitive engineering and education”, in Problem Solving and Education: Issues in Teaching and Research. D. T. Tuma, and F. Reif, Eds. New Jersey: Erlbaum Associates, Hillsdale, 1980, pp. 81–95.
D. D. Woods and E. Roth. “Cognitive engineering: Human problem solving with tools”, Human Factors, vol. 30, pp. 415–430, Apr. 1988.
D. M. Zasada, J. J. Santapietro and L. D. Tromp. “Implementation of a cognitive radar perception/action cycle”. In Proc. 2014 IEEE Radar Conference, 2014, pp. 544-547.
D. Norman. The Design of Everyday Things, Revised and Expanded Edition. New York: Basic Books, 2013.
E. Kania. “The AI Titans’ Security Dilemmas”. Internet: https://www.hoover.org/research/ai-titans, Oct. 29 2018 [Dec. 10, 2020].
Electronic Warfare Fundamentals. Internet: https://docplayer.net/26585533-Electronic-warfare-fundamentals.html, Nov.2000 [Dec. 10, 2020].
euCognition. “Definitions of Cognition & Cognitive Systems”. Internet: http://www.vernon.eu/euCognition/definitions.htm [Dec. 10, 2020].
G. E. Smith, Z. Cammenga, A. Mitchell, K. L. Bell, J. Johnson, M. Rangaswamy and C. Baker. “Experiments with cognitive radar”. IEEE Aerospace and Electronic Systems Magazine, vol. 31, pp. 34-46, Dec. 2016.
G. I. Seffers. “Smarter AI for Electronic Warfare”. Internet: https://www.afcea.org/content/smarter-ai-electronic-warfare, Nov. 1 2017 [Dec. 10, 2020].
G. Pettersson. “An Illustrated Overview of ESM and ECM Systems”. MSc. thesis, Naval Postgraduate School, Monterey, California, United States, 1993.
G. Zhang, H. Rong and W. Jin. “Intra-pulse modulation recognition of unknown radar emitter signals using support vector clustering”, in Proc. 3rd International Conference on Fuzzy Systems and Knowledge Discovery, 2006, pp. 420-429.
Intelligence and Electronic Warfare Operations. Internet: http://www.bits.de/NRANEU/others/amd-us-archive/FM34-1%281987%29.pdf, Jul. 1987 [Oct. 18, 2020].
J. Barron. The Imperfect State: An American Odyssey. Indianapolis, IN: Dog Ear Publishing, 2011.
J. Browne. “Cognitive EW Provides Computer-Powered Protection”, Internet: www.mwrf.com/defense/cognitive-ew-provides-computer-powered-protection, May 10, 2017 [Dec. 10, 2020].
J. E. Kelly III and S. Hamm. Smart Machines: IBM’s Watson and the Era of Cognitive Computing. New York: Columbia University Press, 2013.
J. Friedenberg and G. Silverman. Cognitive Science: An Introduction to the Study of Mind. Sage Publications, 2006.
J. Guerci, R. M. Guerci, M. Rangaswamy, J. Bergin and M. Wicks. “CoFAR: Cognitive fully adaptive radar”. in Proc. IEEE Radar Conference, 2014, pp. 984-989.
J. Guerci. Cognitive Radar: The Knowledge-Aided Fully Adaptive Approach. Norwood, MA: Artech House, 2010.
J. Konwles. “Regaining the advantage – Cognitive electronic warfare”. The Journal of Electronic Defense, vol. 39, pp. 56-62, Dec. 2016.
J. M. Fuster. Cortex and Mind: Unifying Cognition. Oxford, U.K.: Oxford University Press, 2003.
J. Mitola III and G. Q. Maguire, Jr. “Cognitive radio: Making software radios more personal”, IEEE Personal Communications Magazine, vol. 6, pp. 13-18, Apr. 1999.
J. Pang, Y. Lin and X. Xu. “An improved feature extraction algorithm of radiation source based on multiple fractal theory”. International Journal of Signal Processing, Image Processing and Pattern Recognition, vol.7 pp. 237-242, Jan. 2014.
J. R. Anderson. “Is human cognition adaptive?”, Behavioral and Brain Sciences, vol. 14, pp. 471–485, Mar. 1991.
J. Wang. Associative Memory Cells: Basic Units of Memory Trace. Springer, 2019.
K. Krishnan, T. Schwering and S. Sarraf. (2016, May). “Cognitive dynamic systems: A technical review of cognitive radar”, arXiv:1605.08150. [On-line]. Available: https://arxiv.org/abs/1605.08150 [Dec. 10, 2020].
K. L. Bell, C. J. Baker, G. E. Smith, J. T. Johnson and M. Rangaswamy. “Cognitive radar framework for target detection and tracking”, IEEE Journal of Selected Topics in Signal Processing, vol. 9, pp. 1427-1439, Aug. 2015.
L. E. Brennan and I. S. Reed. “Theory of adaptive radar”. IEEE Transactions on Aerospace and Electronic Systems, vol. AES-9, pp. 237-252, Feb. 1973.
M. A. Brandimonte, N. Bruno and S. Collina. “Cognition”. in Psychological Concepts: An International Historical Perspective. K. Pawlik and G. d’Ydewalle, Eds. Hove, UK: Psychology Press, 2006, pp. 11-26.
M. E. Khan, S. G. M. Shadab and F. Khan. “Empirical study of software development life cycle and its various models”, International Journal of Software Engineering, vol. 8, pp. 16-26, Jun. 2020.
M. S. Greco, F. Gini, P. Stinco and K. Bell. “Cognitive radar: A reality?”, arXiv:1803.01000. [On-line]. Available: https://arxiv.org/abs/1803.01000 [Dec. 10, 2020].
N. S. Lanjewar and D. Rane. “Cognitive computing applications”, in Proc. 2nd National Conference of Recent Trends in Computer Science and Information Technology, vol. 5, 2019, pp. 54-59.
P. Gärdenfors and A. Wallin. A Smorgasbord of Cognitive Science, Bokförlaget, Nora: Nya Doxa, 2008.
Q. Wei, Q. Xu, Y. Pan and G. Zhange. “A novel method for sorting unknown radar emitter”. In Proc. 2009 IEEE International Workshop on Intelligent Systems and Applications, 2009, 4 pages.
R. Adams. “Cognitive science meets computing science: The future of cognitive systems and cognitive engineering”, in Proc. of 31st International Conference on Information Technology Interfaces, 2009, pp. 1-12.
R. J. Anderson. Security Engineering — Guide to Building Dependable Distributed Systems. Indianapolis, IN: Wiley Pub, 2008.
S. Andrews and M. Sheppard. “Software architecture erosion: Impacts, causes, and management”. International Journal of Computer Science and Security, vol. 14, pp. 82-93, Jun. 2020.
S. Banerjee, J. Santos, M. Hempel and H. Sharif. “A new railyard safety approach for detection and tracking of personnel and dynamic objects using software-defined radar”. in Proc. 2018 Joint Rail Conference, 2018, pp.1-10.
S. Cole. “Cognitive Electronic Warfare: Countering Threats Posed by Adaptive Radars”. Internet: http://mil-embedded.com/articles/cognitive-electronic-warfare-countering-threats-posed-by-adaptive-radars/, Jan. 31, 2017 [Dec. 10, 2020].
S. Feng, P. Setoodeh and S. Haykin. “Smart home: Cognitive interactive people-centric Internet of things”. IEEE Communications Magazine, vol. 55, pp. 34-39, Feb. 2017.
S. Haykin, Cognitive Dynamic Systems: Perception–Action Cycle, Radar, and Radio. Cambridge, U.K.: Cambridge Press, 2012.
S. Haykin, Y. Xue and P. Setoodeh. “Cognitive radar: Step toward bridging the gap between neuroscience and engineering”, in Proc. of the IEEE, vol. 100, pp. 3102–3130, Nov. 2012.
S. Haykin. “Cognition is the key to the next generation of radar systems,” in Proc. 13th IEEE Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009, pp. 463–467.
S. Haykin. “Cognitive radar: A way of the future”, IEEE Signal Processing Magazine, vol. 23, pp. 30-40, Jan. 2006.
S. Haykin. “Cognitive radar” in Knowledge Based Radar Detection, Tracking and Classification. F. Gini and M. Rangaswamy, Eds. Hoboken, New Jersey: John Wiley & Sons, pp. 9-30. 2008.
S. Holtel. “Artificial intelligence creates a wicked problem for the enterprise”. Procedia Computer Science, vol. 99, pp. 171-180, 2016.
S. Kuzdeba, A. Radlbeck and M. Anderson. "Performance Metrics for Cognitive Electronic Warfare - Electronic Support Measures," in Proc. 2018 IEEE Military Communications Conference (MILCOM), 2018, pp. 151-156.
S. Nirenburg. “Cognitive systems as explanatory artificial intelligence” in Language Production, Cognition, and the Lexicon. N. Gala, R. Rapp and G. Bel-Enguix, Eds. Springer, 2015, pp. 37-49.
T. Broderick. “EW Defense Moves Closer to Reality”. Internet: https://defensesystems.com/articles/2016/11/03/ew.aspx, Nov. 3, 2016 [Dec. 10, 2020].
T. Broderick. “The U.S. Military Fears Russia's Electronic Warfare Capabilities. DARPA Might Have a Solution”. Internet: https://nationalinterest.org/blog/the-buzz/the-us-military-fears-russias-electronic-warfare-18285, Nov. 3, 2016 [Dec. 10, 2020].
V. N. Gudivada, “Data analytics: Fundamentals”. in Data Analytics for Intelligent Transportation Systems. M. Chowdhury, A. Apon and K. Dey, Eds. Amsterdam: Elsevier Inc., 2017, pp. 31 – 67.
W. L. Melvin and M. C. Wicks. “Improving practical space-time adaptive radar”. in Proc. 1997 IEEE National Radar Conference, 1997, pp. 48–53.
Y. Zhang, G. Si and Y. Wang. “Modelling and simulation of cognitive electronic attack under the condition of system-of-systems combat”, Defense Science Journal, vol. 70, pp. 183-189, Mar. 2020,
Z. W. Pylyshyn. “Computing in cognitive science”, in Foundations of Cognitive Science. M. I. Posner, Ed. Cambridge MA: MIT Press, 1989, pp. 49-92.
Dr. Qinghan Xiao
Radar Electronic Warfare Section, Defence R&D Canada - Ottawa Research Centre, Ottawa, ON, K1A 0Z4 - Canada
qinghan.xiao@forces.gc.ca


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