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http://dx.doi.org/10.5515/KJKIEES.2013.24.9.928

Study on the Performance Enhancement of Radar Target Recognition Using Combining of Feature Vectors  

Lee, Seung-Jae (Department of Electronic Engineering, Hannam University)
Choi, In-Sik (Department of Electronic Engineering, Hannam University)
Chae, Dae-Young (Agency for Defense Development)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.24, no.9, 2013 , pp. 928-935 More about this Journal
Abstract
This paper proposed a combining technique of feature vectors which improves the performance of radar target recognition. The proposed method obtains more information than monostatic or bistatic case by combining extracted feature vectors from two receivers. For verifying the performance of the proposed method, we calculated monostatic and bistatic RCS(BRCS) of three full-scale fighters by changing the receiver position. Then, the scattering centers are extracted using 1-D FFT-based CLEAN from the calculated RCS data. Scattering centers are used as feature vectors for neural network classifier. The results show that our method has the better performance than the monostatic or bistatic case.
Keywords
Monostatic Radar; Bistatic Radar; Combining of Feature Vectors; FFT-Based CLEAN Algorithm; Radar Target Recognition;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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