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| Multi-Target Classification Using Acoustic
Signatures in Wireless Sensor Networks: A survey
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Signal Processing: An International Journal (SPIJ) |
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Volume: 4 Issue: 4 |
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Pages: 175-246 |
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Publication
Date: October 2010 |
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ISSN
(Online): 1985-2339 |
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Pages |
175 - 200 |
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Author(s) |
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Published
Date |
30-10-2010 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
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| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Signal classification, Feature extraction, Distributed sensors, Sensor fusion. |
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| Classification of ground vehicles based on acoustic signals using wireless sensor networks is a crucial task in
many applications such as battlefield surveillance, border monitoring, and traffic control. Different signal processing
algorithms and techniques that are used in classification of ground moving vehicles in wireless sensor networks are
surveyed in this paper. Feature extraction techniques and classifiers are discussed for single and multiple vehicles
based on acoustic signals. This paper divides the corresponding literature into three main areas: feature extraction,
classification techniques, and collaboration and information fusion techniques. The open research issues in these
areas are also pointed out in this paper. This paper evaluates five different classifiers using two different feature
extraction methods. The first one is based on the spectrum analysis and the other one is based on wavelet packet
transform. |
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| Ahmad : Colleagues
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| Ala Al-Fuqaha : Colleagues
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