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2019-06-22
RCS Calculation Using Hybrid FDTD-NARX Technique
By
Progress In Electromagnetics Research M, Vol. 82, 73-84, 2019
Abstract
This paper amalgamates two uncorrelated techniques namely finite difference time domain technique (FDTD) and nonlinear autoregressive with exogenous input (NARX) neural network to achieve a faster computation of radar cross section (RCS). It generates only a limited number of FDTD data and uses them to train a NARX neural network. The data beyond this limited number for the FDTD come from the NARX prediction. Comparison of the performance of FDTD-NARX hybrid with other methods indicates good matching with better timing for RCS of electrically larger objects.
Citation
Nihar Kanta Sahoo Dhruba Charan Panda Rabindra Kishore Misra Amit Kumar Sahu , "RCS Calculation Using Hybrid FDTD-NARX Technique," Progress In Electromagnetics Research M, Vol. 82, 73-84, 2019.
doi:10.2528/PIERM19041007
http://www.jpier.org/PIERM/pier.php?paper=19041007
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