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Content Provider | IET Digital Library |
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Author | You, Minglei Jiang, Ting |
Abstract | In this study, a novel method for target identification in a foliage environment is presented. This method is based on the ultra wideband (UWB) wireless sensor networks (WSNs) model, and the foliage environment is specially considered. The data used to identify the targets are derived from the received signal waveform, so most existing transceivers can be exploited as detecting sensors, which leads to a potential low-cost way to identify targets during the normal communications within the WSNs under foliage environment. The selected bispectra algorithm is applied to extract the feature vector, and chaos particle swarm optimisation-based support vector machine is used as the target classifier. Experiments with real-world data samples indicate that this method has an excellent classification performance in a foliage environment. Moreover, this method shows potential for online training. |
Starting Page | 76 |
Ending Page | 84 |
Page Count | 9 |
ISSN | 17519675 |
Volume Number | 8 |
e-ISSN | 17519683 |
Issue Number | Issue 1, Feb (2014) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-spr/8/1 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2012.0389 |
Journal | IET Signal Processing |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Bispectra Algorithm Chaos Chaos Particle Swarm Optimisation-based Support Vector Machine Digital Signal Processing Feature Extraction Foliage Environment Geophysical Signal Processing Geophysical Technique And Equipment Geophysics Computing Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Knowledge Engineering Technique Optimisation Technique Particle Swarm Optimisation Radio Transceivers Received Signal Waveform Signal Classification Signal Detection Support Vector Machine Target Classifier Target Identification Transceivers Ultra Wideband Wireless Sensor Network UWB Vegetation Wireless Sensor Network WSN |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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