Abstract
In battle scenarios, the amount of RF signals/energy intercepted by a sensor like Radar Warning Receiver is characterized by a metric called Probability of Intercept. Due to increase in density and complexity of radars, achieving optimal POI within given cost-constraints is challenging. The basic problem arises since radars scan in spatial (and hence time domain), whereas RWR scan in frequency domain. Synchronizing RWR’s reception frequency with same of Radar and, at the time when radar is illuminating Aircraft will require more than analytical techniques. Situation becomes more complicated with multiple radars and radars with Low Probability Intercept (LPI) signatures. In this paper, we explore how to exploit eXtended Classifier System (or XCS) to tackle this problem.
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References
Tzu, S.: Art of War, 1st edn. Jaico, Mumbai (2010)
Wikipedia. https://en.wikipedia.org/wiki/Lockheed_Martin_F-35_Lightning_II
Adamy, D.: EW 101: A First Course in Electronic Warfare (Artech House Radar Library)
Joshi, R.V., Chandrashekhar, N.: Discrete time vs agent based techniques for finding optimal radar scan rate-a comparative analysis. In: International Conference on Soft Computing Systems (2018). First and Corresponding Author
Butz, M.V., Wilson, S.W.: An algorithmic description of XCS
Holland, J.H.: Introduction to Genetic Algorithm. http://www2.econ.iastate.edu/tesfatsi/holland.gaintro.htm
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Joshi, R.V., Chandrashekhar, N. (2019). Optimizing Probability of Intercept Using XCS Algorithm. In: Abraham, A., Gandhi, N., Pant, M. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2018. Advances in Intelligent Systems and Computing, vol 939. Springer, Cham. https://doi.org/10.1007/978-3-030-16681-6_33
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DOI: https://doi.org/10.1007/978-3-030-16681-6_33
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Online ISBN: 978-3-030-16681-6
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