A Multiple-Transmitting and Multiple-Receiving Predicting Far-Field RCS Algorithm Based on CNFFFT

2019 IEEE International Conference on Computational Electromagnetics (ICCEM) Pub Date : 2019-03-20 DOI:10.1109/COMPEM.2019.8779148

Jianhang Sun, Wei-dong Hu, Yang Liu, Baige Xing, Yunzhang Zhao

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Abstract

When the Circular Near-Field to Far-Field Transformations (CNFFFT) is used to near-field to far-field transformation observed over a large range of angles, there is an angular error to the theoretical far-field results. In this paper, a multi-receiving and multi-transmitting RCS near-field to far-field Transformation based on the CNFFFT is proposed. By using a form of multi-transmitting and multi-receiving this method increases the number of effective phase centers in the system and obtains more information about a scene. The RCS near-field to far-field transformations are performed in different phase centers using CNFFFT. The data are stitched together by using the results of each small-angle transformation to achieve accurate RCS near-field to far-field transformation in the full angles. By using two groups of scatterer respectively consisting of five and nine ideal scattering points, the near-field to far-field transformation simulation experiments based on this method are performed. Results verify the correctness and effectiveness of this method.

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基于CNFFFT的多发多收远场RCS预测算法

将圆形近场到远场变换(CNFFFT)用于大角度范围内观测的近场到远场变换时，理论远场结果存在角度误差。提出了一种基于CNFFFT的多接收多发射RCS近场到远场的变换方法。该方法采用多发射多接收的形式，增加了系统中有效相位中心的数量，获得了更多的场景信息。利用CNFFFT在不同的相位中心进行了RCS近场到远场的变换。利用每个小角度变换的结果将数据拼接在一起，实现全角度RCS近场到远场的精确变换。利用分别由5个和9个理想散射点组成的两组散射体，进行了基于该方法的近场到远场变换仿真实验。结果验证了该方法的正确性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 IEEE International Conference on Computational Electromagnetics (ICCEM)

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