Acoustic discrimination between aircraft and land vehicles using nonlinear dynamical signal models

One of the most important applications of nonlinear dynamics is the estimation of empirical dynamical models from data, in order to explain time series derived from physical processes. Such derived models can then be used for a variety of data processing applications, in particular for detection and...

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Bibliographic Details
Published inProceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467) Vol. 2; pp. 687 - 690 vol.2
Main Authors Pentek, A., Kadtke, J.B., Lennartsson, R.K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2001
Subjects
Acoustic testing
Aircraft
Data processing
Delay estimation
Laboratories
Land vehicles
Nonlinear acoustics
Nonlinear dynamical systems
Performance evaluation
Signal processing
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Summary:One of the most important applications of nonlinear dynamics is the estimation of empirical dynamical models from data, in order to explain time series derived from physical processes. Such derived models can then be used for a variety of data processing applications, in particular for detection and classification problems. Previously, we presented a theory and numerical approach for the estimation of such nonlinear dynamical models in the detection and classification of acoustic data. Here, we apply these ideas to perform discrimination between aircraft and land vehicles based on acoustic signature recordings, derived from a field test of the USA Army.
ISBN:9780780367036
0780367030
DOI:10.1109/ISSPA.2001.950241