Electrical and Computer Engineering
2332 Main Mall
Vancouver,
BC
Canada
V6T 1Z4
Tel +1.604.822.2872
Fax +1.604.822.5949
Email:
info@ece.ubc.ca
| Title | Threat Estimation by Electronic Surveillance of Multifunction Radars: A Stochastic Context Free Grammar Approach |
| Publication Type | Conference Paper |
| Year of Publication | 2006 |
| Authors | Wang, A., V. Krishnamurthy, F. A. Dilkes, and N. A. Visnevski |
| Conference Name | Decision and Control, 2006 45th IEEE Conference on |
| Pagination | 2153 -2158 |
| Date Published | dec. |
| Keywords | context-free grammars, electronic surveillance, electronic warfare surveillance, maximum likelihood estimation, maximum likelihood threat estimation, military computing, military radar, military system, multifunction radars, stochastic context free grammar, stochastic processes |
| Abstract | Multi-function radars (MFRs) are sophisticated sensors that are widely used in military systems. It is shown that the stochastic context free grammar (SCFG) efficiently captures the essential features of the MFR dynamics compared to more traditional finite Markov models (regular grammars). The dynamics of the MFR are formulated as a mixture of two SCFGs - the mixture parameter determining the threat level. We then present a maximum likelihood threat estimation algorithm by capturing the noisy radar signals represented as strings from the MFR language. The relative simplicity of the SCFG model facilitates development of a systematic design procedure for electronic warfare (EW) surveillance algorithms |
| URL | http://dx.doi.org/10.1109/CDC.2006.377254 |
| DOI | 10.1109/CDC.2006.377254 |