DocumentCode :
1408764
Title :
Identifying Fabrics With a Variable Emission Airborne Spiking Sonar
Author :
Álvarez, Fernando J. ; Kuc, Roman ; Aguilera, Teodoro
Author_Institution :
Dept. of Electr. Eng., Univ. of Extremadura, Badajoz, Spain
Volume :
11
Issue :
9
fYear :
2011
Firstpage :
1905
Lastpage :
1912
Abstract :
A new spiking sonar based on the commercial 6500 module is presented in this work that, unlike the previous versions of this sensor, is capable to vary both the duration and the frequency of its emission. This feature is provided by a PIC18F452 device that also controls the module integrator to generate the sequence of spikes whose density is proportional to the amplitude of the echo. The sensor is used to generate rotational scans of a post covered with different fabrics at six different frequencies. Principal component analysis applied to the number of spikes obtained at different bearings and frequencies generates datasets that are clearly separated for each material, thus facilitating their latter identification by means of a probabilistic neural network.
Keywords :
fabrics; principal component analysis; sonar; fabrics; module integrator; principal component analysis; probabilistic neural network; variable emission airborne spiking sonar; Distance measurement; Fabrics; Principal component analysis; Sensors; Sonar; Transducers; Fabrics identification; principal component analysis (PCA); probabilistic neural network; spiking sonar;
fLanguage :
English
Journal_Title :
Sensors Journal, IEEE
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2010.2100817
Filename :
5672568
Link To Document :
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