Radar target identification using a combined early-time/late-time E-pulse technique

1998 ◽  
Vol 46 (9) ◽  
pp. 1272-1278 ◽  
Author(s):  
Q. Li ◽  
P. Ilavarasan ◽  
J.E. Ross ◽  
E.J. Rothwell ◽  
Kun-Mu Chen ◽  
...  
Keyword(s):  
Target Identification ◽  
Early Time ◽  
Radar Target ◽  
Late Time ◽  
Pulse Technique

Simple estimation of late-time response for radar target identification

Radio Science ◽  
2017 ◽  
Vol 52 (6) ◽  
pp. 743-756 ◽  
Author(s):  
Akkarat Boonpoonga ◽  
Pongsathorn Chomdee ◽  
Santana Burintramart ◽  
Prayoot Akkaraekthalin
Keyword(s):  
Target Identification ◽  
Time Response ◽  
Radar Target ◽  
Late Time ◽  
Simple Estimation

Radar Target Identification and Detection Using Short EM Pulses and the E-Pulse Technique

1993 ◽  
pp. 475-482 ◽  
Author(s):  
E. Rothwell ◽  
K. M. Chen ◽  
D. P. Nyquist ◽  
P. Ilavarasan ◽  
J. Ross ◽  
...  
Keyword(s):  
Target Identification ◽  
Radar Target ◽  
Pulse Technique

scholarly journals Comparison of Matrix Pencil Extracted Features in Time Domain and in Frequency Domain for Radar Target Classification

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Mahmoud Khodjet-Kesba ◽  
Khalil El Khamlichi Drissi ◽  
Sukhan Lee ◽  
Kamal Kerroum ◽  
Claire Faure ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Frequency Domain ◽  
Time Domain ◽  
Early Time ◽  
Matrix Pencil ◽  
Support Vector ◽  
Radar Target ◽  
Late Time ◽  
K Nearest Neighbor ◽  
Matrix Pencil Method

Feature extraction is a challenging problem in radar target identification. In this paper, we propose a new approach of feature extraction by using Matrix Pencil Method in Frequency Domain (MPMFD). The proposed method takes into account not only the magnitude of the signal, but also its phase, so that all the physical characteristics of the target will be considered. With this method, the separation between the early time and the late time is not necessary. The proposed method is compared to Matrix Pencil Method in Time Domain (MPMTD). The methods are applied on UWB backscattered signal from three canonical targets (thin wire, sphere, and cylinder). MPMFD is applied on a complex field (real and imaginary parts of the signal). To the best of our knowledge, this comparison and the reconstruction of the complex electromagnetic field by MPMFD have not been done before. We show the effect of the two extraction methods on the accuracy of three different classifiers: Naïve bayes (NB), K-Nearest Neighbor (K-NN), and Support Vector Machine (SVM). The results show that the accuracy of classification is better when using extracted features by MPMFD with SVM.

Late-Time Estimation for Resonance-Based Radar Target Identification

2014 ◽  
Vol 62 (11) ◽  
pp. 5865-5871 ◽  
Author(s):  
Chad O. Hargrave ◽  
I. Vaughan L. Clarkson ◽  
Hoi-Shun Lui
Keyword(s):  
Target Identification ◽  
Time Estimation ◽  
Radar Target ◽  
Late Time
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