Modeling and Interpretation of Multifunction Radars with Stochastic Grammar

@article{Wang2008ModelingAI,
  title={Modeling and Interpretation of Multifunction Radars with Stochastic Grammar},
  author={A. Wang and V. Krishnamurthy},
  journal={2008 IEEE Aerospace Conference},
  year={2008},
  pages={1-13},
  url={https://api.semanticscholar.org/CorpusID:38544872}
}
A knowledge-based statistical signal processing technique that allows syntactic representation of domain expert knowledge and model MFRs as systems that "speak" a language that can be characterized by a Markov modulated stochastic context free grammar (SCFG).

Figures and Tables from this paper

Multi-Function Radar Modeling: A Review

The mathematical logic in modeling MFR is illustrated and an MFR modeling framework (named MFRModeling) is proposed, which contains pulse interception, pulse representation, hierarchical model design, pulse dictation, and evaluation.

Modelling, Learning and Prediction of Complex Radar Emitter Behaviour

This paper adapts and extends the previously published hierarchical modelling approach of multifunction radars as systems that speak a language. We propose Long Short-Term Memory neural networks for…

MFR Working Mode Recognition Based on CNN-BILSTM-SoftAttention Model

A hybrid recognition model based on CNN-BILSTM-SoftAttention, which can distinguish different working mode by assigning higher weights to parameters with overlapping and has better classification ability and higher performance than existing work pattern classification methods is proposed.

Threat Estimation by Electronic Surveillance of Multifunction Radars: A Stochastic Context Free Grammar Approach

The stochastic context free grammar (SCFG) efficiently captures the essential features of the MFR dynamics compared to more traditional finite Markov models (regular grammars).

ESM processor system for high pulse density radar environments

This paper concentrates on emitter de-interleaving of pulse data streams of several hundred thousand pulses/second, which is one of the processing steps involved in automatic radar ESM systems.

Signal sorting in ESM systems

The paper discusses the problem of developing automatic sorting of radar environments, in order to assist, and eventually replace, the ESM equipment operator, and separates the signal sorting problem into two subproblems of describing the radar environment in a pulse-train sorter and monitoring changes in the perceived environment in new-signal detector.

Use of metric techniques in ESM data processing

The paper describes the use of metric techniques in an electronic support measures (ESM) data processing scheme developed at Smith Associates Consulting System Engineers Limited for the UK Ministry…

Electronic Warfare in the Information Age

This new book identifies and explains the newest radar and communications threats, and provides EW and radar engineers, managers, and technical professionals with practical, "how-to" information on designing and implementing ECM and ECCM systems.

Estimation and Tracking: Principles, Techniques, and Software

Brief review of linear algebra and linear systems brief review of probability theory brief review of statistics some basic concepts in estimation linear estimation in static systems linear dynamic…

The real-time implementation of emitter identification for ESM

The PSIDRA architecture is based on a Sequential Prolog Processor capable of 5 MLIP operation and is both highly scalable and designed to meet the stringent requirements of real-time operation of programs such as CEIM and PALANTIR.

Foundations of Statistical Natural Language Processing

This is a well-written book that describes how to build IR systems, with a strong focus on compression methods, and its coverage of general IR should also lead others to take a look at it as well.