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A novel application of a microaccelerometer for target classification

Lan, Jinhui, Lan, Tian and Nahavandi, Saeid 2004, A novel application of a microaccelerometer for target classification, IEEE Sensors Journal, vol. 4, no. 4, pp. 519-524.

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Title A novel application of a microaccelerometer for target classification
Author(s) Lan, Jinhui
Lan, Tian
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Journal name IEEE Sensors Journal
Volume number 4
Issue number 4
Start page 519
End page 524
Publisher IEEE Xplore
Place of publication Piscataway, N.J.
Publication date 2004-08
ISSN 1530-437X
1558-1748
Keyword(s) Microaccelerometer
seismic detection
target classification
Summary This paper presents a novel method of target classification by means of a microaccelerometer. Its principle is that the seismic signals from moving vehicle targets are detected by a microaccelerometer, and targets are automatically recognized by the advanced signal processing method. The detection system based on the microaccelerometer is small in size, light in weight, has low power consumption and low cost, and can work under severe circumstances for many different applications, such as battlefield surveillance, traffic monitoring, etc. In order to extract features of seismic signals stimulated by different vehicle targets and to recognize targets, seismic properties of typical vehicle targets are researched in this paper. A technique of artificial neural networks (ANNs) is applied to the recognition of seismic signals for vehicle targets. An improved back propagation (BP) algorithm and ANN architecture have been presented to improve learning speed and avoid local minimum points in error curve. The improved BP algorithm has been used for classification and recognition of seismic signals of vehicle targets in the outdoor environment. Through experiments, it can be proven that target seismic properties acquired are correct, ANN is effective to solve the problem of classification and recognition of moving vehicle targets, and the microaccelerometer can be used in vehicle target recognition.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Language eng
Field of Research 090999 Geomatic Engineering not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2004, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30008733

Document type: Journal Article
Collections: School of Engineering and Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.