Error Comparison of CNFFFT and Hankel Method in RCS Near-Field to Far-Field Transformation

Peng Zhao, Weidong Hu, Yang Liu, Zhiyu Yao, Jianhang Sun

Research output: Contribution to journalConference articlepeer-review

Abstract

At present, there are mainly two kinds of image-based near-field to far-field transformation (NFFFT) algorithms: Hankel method and circular near-field-to-far-field transformation (CNFFFT). Due to the approximation in the measurement distance, the accuracy of Hankel method is lower than that of CNFFFT. However, the implementation of CNFFFT is complex and time-consuming. It is necessary to determine the detailed relationship between the transformation error and the near-field test distance for both algorithms to provide a basis for the choice of which algorithm to use. In this paper, the effect of the near-field test distance approximation of the two algorithms is obtained by simulating 4, 5, and 9 scattering point models. Meanwhile, an accurate comparison method for two NFFFT algorithms under different test distances is proposed.

Original languageEnglish
Article number122003
JournalJournal of Physics: Conference Series
Volume2478
Issue number12
DOIs
Publication statusPublished - 2023
Event3rd International Conference on Defence Technology, ICDT 2022 - Changsha, China
Duration: 22 Aug 202226 Aug 2022

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