Aircraft Class Recognition based on Take-off Noise Patterns

Authors

  • Luis Alejandro Sánchez Pérez Centro de Investigación en Computación
  • Luis Pastor Sánchez Fernández Instituto Politécnico Nacional
  • Sergio Suarez Guerra Instituto Politécnico Nacional

DOI:

https://doi.org/10.13053/cys-20-4-2429

Keywords:

Airport noise, aircraft class recognition, signal segmentation, neural network.

Abstract

In this work the aircraft class recognition of based on take-off noise patterns is examined. Signal segmentation in time is analyzed as well as using a MLP neural network as the classifier for each segment. Also, several algorithms for decision by committee in order to aggregate the multiple parallel outputs of the classifiersare examined along with feature extraction and selection based on spectrum analysis of the aircraft noise. Also, amethod for georeferenced estimation of the take-off flight path based only on the noise signal is explored. The methodology and results are sustained in the current literature.

Author Biographies

Luis Alejandro Sánchez Pérez, Centro de Investigación en Computación

Obtained a doctorate in Engineering and Physical Mathematical Sciences at the Computing Research Center (CIC) of the National Polytechnic Institute (IPN), Mexico 2016, receiving the Lázaro Cárdenas Medal in the category of Doctorate in Engineering and Physical Mathematical Sciences, the highest academic recognition awarded by the institute. At the moment it belongs to the National System of Investigators of the CONACYT with appointment of National Investigator SIN-I. He is currently a member of the Department of Electrical and Computer Engineering at the University of Michigan - Bearborn as an Affiliate and Postdoctoral Scholar. His research areas are Machine Learning, Artificial Intelligence, Digital Signal Processing, Sensor Arrangement and Multichannel Processing.

Luis Pastor Sánchez Fernández, Instituto Politécnico Nacional

Got his Doctorate in technical sciences by the Institute Polytechnic Superior José Antonio Echeverría in 1998, Havana, Cuba. Currently performs as a Professor / Researcher at the Computer Research (CIC) of the Institute National Polytechnic Institute (IPN). Belongs to the System National Researchers in the category of National Researcher SNI-I. Their areas of Research are Virtual Instrumentation, Signal Processing, Signal Recognition Patterns and Automatic Control.

Sergio Suarez Guerra, Instituto Politécnico Nacional

Obtained his doctorate in the Computer Science Center The Academy of Sciences of the Union of Soviet Republics (USSR) in 1979. He is currently Professor / Researcher at the Center Computer Science (CIC) of the National Polytechnic Institute. Belongs to National System of Researchers in Category of SNI-I National Researcher. Their areas of research are Signals, Pattern Recognition and Voice.

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Published

2016-12-18

Issue

Vol. 20 No. 4 (2016): Thematic Issue: Research Advances and Applications of Evolutionary Computation (Guest Editors: H.J. Escalante, M. Graff)

Section

Articles

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