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Hidden Markov models for radar pulse train analysis in electronic warfare | IEEE Conference Publication | IEEE Xplore
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Hidden Markov models for radar pulse train analysis in electronic warfare


Abstract:

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 technique commo...Show More

Abstract:

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 technique commonly used for extraction of complex pulse patterns. We derive a hidden Markov model for the radar word templates, and develop a modified version of the Viterbi algorithm to extract radar words from noisy and corrupted pulse sequences. We argue the advantages of this approach compared to the standard TOA histogram technique, and illustrate operation of the algorithm with computer simulation results.
Date of Conference: 23-23 March 2005
Date Added to IEEE Xplore: 09 May 2005
Print ISBN:0-7803-8874-7

ISSN Information:

Conference Location: Philadelphia, PA, USA

References

References is not available for this document.