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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Minglei You Ting Jiang |
| Copyright Year | 2013 |
| Description | Author affiliation: Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China (Minglei You; Ting Jiang) |
| Abstract | In this paper, a novel method of target identification in foliage environment is presented. This method takes the received signal waveforms to identify the targets between the communication transceivers, which are measured by Ultra WideBand (UWB) Impulse Radio (IR) equipment under foliage environment. In this way, most existing UWB-IR transceivers can be exploited as detecting radar sensors, which leads to a potential low-cost way to identify targets under foliage environment. The selected bispectra algorithm is applied to extract the feature vector, and Extreme Learning Machine is used as the target classifier. Experiments with real-world data samples indicate that this method has an excellent classification performance in foliage environment. |
| Starting Page | 941 |
| Ending Page | 945 |
| File Size | 909170 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467357531 |
| DOI | 10.1109/ICCW.2013.6649370 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-09 |
| Publisher Place | Hungary |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | selected bispectra Extreme Learning Machine foliage environment obstacle detection target identification radar recognition Training Accuracy Support vector machine classification Radar Feature extraction Radar antennas Testing |
| Content Type | Text |
| Resource Type | Article |
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