基于频率稀疏三维成像的RCS测量

Yang Liu, Kefei Liao
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引用次数: 0

摘要

在基于图像的雷达截面(RCS)测量系统中,宽带发射机和接收机结构复杂,价格昂贵。为了克服这一问题,本文提出了一种新的频率稀疏三维成像方法。通过增加频率间隔,可以减少扫描点的数量。提出了一种改进的三维逆投影(BP)算法来获取目标图像,最后计算出目标的RCS。仿真结果表明,当扫描点数量足够时,该方法是有效的。
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RCS Measurement Based on Frequency-sparse 3-D Imaging
In the image-based radar cross-section (RCS) measurement system, wide-band transmitter and receiver are complex and expensive. To overcome this problem, this paper proposes a new method of frequency-sparse 3-D imaging. By increasing frequency interval, the number of sweep points is reduced. An improved 3-D back project (BP) algorithm is presented to obtain the image of targets, finally, the RCS of targets can be calculated. Simulation results show that this method is effective when the number of sweep points is adequate.
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