Multi-function radar emitter modelling: a stochastic discrete event system approach

TitleMulti-function radar emitter modelling: a stochastic discrete event system approach
Publication TypeConference Paper
Year of Publication2003
AuthorsVisnevski, N., V. Krishnamurthy, S. Haykin, B. Currie, F. Dilkes, and P. Lavoie
Conference NameDecision and Control, 2003. Proceedings. 42nd IEEE Conference on
Pagination6295 - 6300 Vol.6
Date Publisheddec.
Keywordsdecoding, discrete event systems, discrete time filters, discrete-time hidden Markov filter, electronic warfare, hidden Markov models, military radar, multifunction radar emitter modelling, radar transmitters, semiMarkov processes, state estimation, stochastic discrete event system
Abstract

We consider the electronic warfare problem of decoding the internal state of a multi-function radar at a given time, when provided with incomplete observations of the radar emissions and some prior knowledge of how the radar functions. The internal state of multi-function radar can provide an indication of where it stands in its target acquisition process and in how much time a weapon can be triggered. Therefore, estimation of the internal state of the radar is useful to assess how much of a threat it constitutes. In this paper a mathematical framework to model how radars function is proposed. This framework is based on the concept of generalized semi-Markov processes. In the case of radars structuring their emissions around a clock, this model reduces to a Markov-modulated Markov process. In the latter case, the problem of decoding the internal state of the radar given incomplete observations can be solved by using a discrete-time hidden Markov filter. The practicality of the proposed approach is discussed and illustrated by means of a hypothetical multifunction radar example.

URLhttp://dx.doi.org/10.1109/CDC.2003.1272306
DOI10.1109/CDC.2003.1272306

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