A Cavity RCS Measurement Method Based on Microwave Imaging Extraction

Lingkang Kong, Jingcheng Zhao, M. Kadoch, Zhihua Chen, Zhengfa Zuo
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Abstract

The cavity scattering brought by the inlet is an important scattering source of the stealth UAV, so obtaining the scattering characteristics of the cavity target in the installed state is an important topic for the stealth performance test of the UAV. After installation, the cavity target is wrapped inside the aircraft, and its outer surface does not produce scattering contribution. In order to effectively eliminate the scattering from the external surface of the cavity and obtain the accurate scattering characteristics inside the cavity, the algorithm of microwave imaging reverse RCS is applied to the test of the cavity in this paper. After the cavity is imaged by ISAR, the method removes the strong scattering region of the outer wall of the cavity, so as to obtain a new ISAR image. Moreover, it integrates the new ISAR image to obtain the echo information inside the cavity under the installed state. The simulation results show that this method can effectively eliminate the scattering from the outer wall of the cavity and evaluate the inlet RCS of UAV at large incident angle.
基于微波成像提取的腔体RCS测量方法
进气道带来的空腔散射是隐身无人机的重要散射源,因此获取空腔目标在安装状态下的散射特性是无人机隐身性能测试的重要课题。安装后,空腔目标包裹在飞机内部,其外表面不产生散射贡献。为了有效消除腔体外表面的散射,获得腔体内部准确的散射特性,本文将微波成像逆RCS算法应用于腔体的测试。在对腔体进行ISAR成像后,该方法去除腔体外壁的强散射区域,从而获得新的ISAR图像。同时,将新的ISAR图像进行整合,获取安装状态下腔体内部的回波信息。仿真结果表明,该方法可以有效地消除腔体外壁散射,并对无人机大入射角下的进气道RCS进行评估。
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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