TY - JOUR
T1 - Radar target recognition by frequency-diversity RCS together with kernel scatter difference discrimination
AU - Lee, Kun Chou
N1 - Funding Information:
The authors would like to thank (1) the financial support from the Ministry of Science and Technology, Taiwan, under Grant MOST 108-2221-E-006-091, (2) the National Center for High Performance Computing, Taiwan, for computer time and facilities, and (3) Dr. Sheng-Chih Chan for his help in this study.
Publisher Copyright:
© 2019, Electromagnetics Academy. All rights reserved.
PY - 2019
Y1 - 2019
N2 - In this paper, the radar target recognition is given by frequency-diversity RCS (radar cross section) together with kernel scatter difference discrimination. The frequency-diversity technique means to collect electromagnetic signals by sweeping the operation frequencies. Such a technique is usually utilized in inverse scattering and radar target recognition because different frequencies each may contain important information of a target. By using the frequency diversity RCS technique, one can reduce the times of spatial measurement. This is an important contribution since it is always difficult to build a spatial radar measurement in practical battlefield environments. To enhance pattern recognition, the collected RCS data are processed by the kernel scatter difference discrimination, which is improved from the Fisher discrimination. To investigate the capability of tolerating environmental fluctuation, each simulated RCS data is added by a random component prior to implementing pattern recognition. Numerical simulation shows that our recognition scheme is still very accurate even though the RCS contains a random component.
AB - In this paper, the radar target recognition is given by frequency-diversity RCS (radar cross section) together with kernel scatter difference discrimination. The frequency-diversity technique means to collect electromagnetic signals by sweeping the operation frequencies. Such a technique is usually utilized in inverse scattering and radar target recognition because different frequencies each may contain important information of a target. By using the frequency diversity RCS technique, one can reduce the times of spatial measurement. This is an important contribution since it is always difficult to build a spatial radar measurement in practical battlefield environments. To enhance pattern recognition, the collected RCS data are processed by the kernel scatter difference discrimination, which is improved from the Fisher discrimination. To investigate the capability of tolerating environmental fluctuation, each simulated RCS data is added by a random component prior to implementing pattern recognition. Numerical simulation shows that our recognition scheme is still very accurate even though the RCS contains a random component.
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U2 - 10.2528/PIERM19101201
DO - 10.2528/PIERM19101201
M3 - Article
AN - SCOPUS:85078259183
SN - 1937-8726
VL - 87
SP - 137
EP - 145
JO - Progress In Electromagnetics Research M
JF - Progress In Electromagnetics Research M
ER -