Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Similars in SciELO
Share
Computación y Sistemas
On-line version ISSN 2007-9737Print version ISSN 1405-5546
Abstract
SANCHEZ PEREZ, Luis Alejandro; SANCHEZ-FERNANDEZ, Luis Pastor and SUAREZ-GUERRA, Sergio. Aircraft Class Recognition based on Take-off Noise Patterns. Comp. y Sist. [online]. 2016, vol.20, n.4, pp.799-825. ISSN 2007-9737. https://doi.org/10.13053/cys-20-4-2429.
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 classifiers are examined along with feature extraction and selection based on spectrum analysis of the aircraft noise. Also, a method 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.
Keywords : Airport noise, aircraft class recognition, signal segmentation; neural network.