Search Results - "Dilkes, Fred"
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1
Robust Spectrum Sensing and Signal Classification: Enhanced Out-of-Distribution Detection Incorporating a Voting Mechanism
Published in IEEE access (2024)“…This paper introduces an innovative methodology for spectrum sensing and signal classification, leveraging generative artificial intelligence and incorporating…”
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Journal Article -
2
Fast Learning of Grammar Production Probabilities in Radar Electronic Support
Published in IEEE transactions on aerospace and electronic systems (01-07-2010)“…Although stochastic context-free grammars (SCFG) appear promising for the recognition and threat assessment of complex radar emitters in radar electronic…”
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Journal Article -
3
Graphical EM for on-line learning of grammatical probabilities in radar Electronic Support
Published in Applied soft computing (01-08-2012)“…[Display omitted] Although Stochastic Context-Free Grammars (SCFGs) appear promising for the recognition and threat assessment of complex radar emitters in…”
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Journal Article -
4
Doppler Frequency Geolocation of Uncooperative Radars
Published in MILCOM 2007 - IEEE Military Communications Conference (01-10-2007)“…Passive geolocation of uncooperative radar emitters remains an important problem in radar electronic warfare. Several location estimation techniques have been…”
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Conference Proceeding -
5
Threat Estimation by Electronic Surveillance of Multifunction Radars: A Stochastic Context Free Grammar Approach
Published in Proceedings of the 45th IEEE Conference on Decision and Control (01-01-2006)“…Multi-function radars (MFRs) are sophisticated sensors that are widely used in military systems. It is shown that the stochastic context free grammar (SCFG)…”
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Conference Proceeding -
6
Hidden Markov models for radar pulse train analysis in electronic warfare
Published in Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005 (2005)“…We present a new approach to radar pulse train analysis in electronic warfare. We consider an alternative to the classical time-of-arrival (TOA) histogram…”
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Conference Proceeding -
7
Frequency Estimation of Uncooperative Coherent Pulse Radars
Published in MILCOM 2007 - IEEE Military Communications Conference (01-10-2007)“…RF Frequency estimation is required in many applications, such as Radar Electronic Warfare (REW) and telecommunications. For example, passive location…”
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Conference Proceeding -
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Tracking the mode of operation of multi-function radars
Published in 2006 IEEE Conference on Radar (2006)“…One of the important objectives of a radar warning receiver (RWR) aboard a tactical aircraft is to evaluate the level of threat posed by hostile radars in an…”
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Conference Proceeding -
9
Incremental Learning of Stochastic Grammars with Graphical EM in Radar Electronic Support
Published in 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 (01-04-2007)“…Although stochastic context-free grammars (SCFGs) appear promising for recognition of radar emitters, and for estimation of their level of threat in radar…”
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Conference Proceeding -
10
Non-self-embedding context-free grammars for multi-function radar modeling - electronic warfare application
Published in IEEE International Radar Conference, 2005 (2005)“…Multi-function radars (MFRs) exploit flexible and sophisticated software control algorithms that enable them to perform multiple functions (tracking,…”
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Conference Proceeding -
11
Maximum Likelihood and the Graphical Em Algorithm
Published in 2006 Canadian Conference on Electrical and Computer Engineering (01-05-2006)“…A challenge in the design of SCFGs for some applications is the computation of the probability distributions associated with its production rules. The most…”
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Conference Proceeding -
12
Multi-function radar emitter modelling: a stochastic discrete event system approach
Published in 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475) (2003)“…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…”
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Conference Proceeding