Radar Cross Section Near-Field to Far-Field Prediction for Isotropic-Point Scattering Target Based on Regression Estimation

Radar Cross Section Near-Field to Far-Field Prediction for Isotropic-Point Scattering Target Based on Regression Estimation

Radar cross section near-field to far-field transformation (NFFFT) is a well-established methodology. Due to the testing range constraints, the measured data are mostly near-field. Existing methods employ electromagnetic theory to transform near-field data into the far-field radar cross section, whi...

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Bibliographic Details
Main Authors: Yang Liu, Weidong Hu, Wenlong Zhang, Jianhang Sun, Baige Xing, Leo Ligthart
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
near-field to far-field transformation (NFFFT)
neural network
nonlinear regression
radar cross section (RCS) measurement
regression analysis
Online Access:https://www.mdpi.com/1424-8220/20/21/6023

Internet

https://www.mdpi.com/1424-8220/20/21/6023

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