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Proceedings Paper

Transition matrices for the detection and removal of signal contamination in deinterleaved pulse trains
Author(s): Dorwin C. Black; John R. Altoft; John C. Sciortino
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Paper Abstract

Purity of deinterleaved pulse descriptor word (PDW) trains is critical to the performance of emitter classification software that analyzes PDW data. Contamination of the input PDW train can lead to artifacts in the analysis resulting in incorrect or ambiguous classification. This paper presents results of an investigation into the possibility of applying transition matrices to the detection and removal of contaminating pulses from a deinterleaver output. The utility of transition matrices as a fast and efficient pattern recognition tool in ESM emitter classification has been known for over a decade [Brown, R.G., "Pattern Recognition Using Transition Matrices", 7th RMC Symposium on Applications of Advanced Software in Engineering, pp 52-57, Royal Military College of Canada, Kingston Ontario, May 1995]. In the work presented herein, transition matrix patterns unique to contaminated pulse trains are sought in order to provide a warning that a particular PDW train is contaminated, and provide a clue as to which pulses should be removed to purify the PDW train.

Paper Details

Date Published: 17 May 2006
PDF: 9 pages
Proc. SPIE 6235, Signal Processing, Sensor Fusion, and Target Recognition XV, 62351J (17 May 2006); doi: 10.1117/12.664462
Show Author Affiliations
Dorwin C. Black, Naval Research Lab. (United States)
John R. Altoft, ALTEK Systems Research LLC (Canada)
John C. Sciortino, Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 6235:
Signal Processing, Sensor Fusion, and Target Recognition XV
Ivan Kadar, Editor(s)

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