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http://dx.doi.org/10.5515/KJKIEES.2011.22.10.981

Performance Improvement of Radar Target Classification Using UWB Measured Signals  

Lee, Seung-Jae (Department of Electronic Engineering, Hannam University)
Lee, Sung-Jun (Department of Electronic Engineering, Hannam University)
Choi, In-Sik (Department of Electronic Engineering, Hannam University)
Park, Kang-Kuk (Department of Electrical and Electronic Engineering, POSTECH)
Kim, Hyo-Tae (Department of Electrical and Electronic Engineering, POSTECH)
Kim, Kyung-Tae (Department of Electrical and Electronic Engineering, POSTECH)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.22, no.10, 2011 , pp. 981-989 More about this Journal
Abstract
In this paper, we performed radar target classification for the five scale models using ultra-wideband measured signal. In order to compare the performance, the 2 GHz(2~4 GHz), 4 GHz(2~6 GHz), and 6 GHz(2~8 GHz) bandwidth were used. Short time Fourier transform(STFT) and continuous wavelet transform(CWT) are used for target feature extraction. Extracted feature vectors are used as input for the multi-layerd perceptron(MLP) neural network classifier. The results show that as the bandwidth is wider, the performance is better.
Keywords
UWB Radar Signal; Feature Extraction; Time-Frequency Analysis; MLP Neural Network; Target Classification;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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