毫米波三维雷达扫描器的稀疏随机SAR轨迹

J. Rama, R. Herschel, W. Heinrich
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引用次数: 0

摘要

利用一个简化的数学模型,假设远场条件和时谐发射电磁波,利用平面合成阵列识别了毫米波三维雷达扫描仪的合成孔径雷达轨迹。将传统随机阵列理论应用于合成随机阵列,建立了稀疏随机SAR轨迹的设计准则。通过数值模拟和实验验证了理论结果。给出了一种具有高角分辨率和合理旁瓣抑制的稀疏合成随机阵列的实例,它只使用了相同尺寸的全合成阵列(即满足某些奈奎斯特条件的周期性分布测量位置的阵列)中约1%的测量位置数。这意味着大大减少了测量时间和原始数据的数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sparse Random SAR Trajectories for a Millimeter Wave 3D Radar Scanner
By use of a simplified mathematical model assuming far-field conditions and time-harmonic transmitted electromagnetic waves, the SAR trajectory (SAR = synthetic aperture radar) for a millimeter wave 3D radar scanner is identified with a planar (2D) synthetic array. Design criteria for sparse random SAR trajectories are formulated by adapting the well-known theory of conventional random arrays to the case of synthetic random arrays. Theoretical results are verified by numerical simulations and experiments. An example of a sparse synthetic random array with high angular resolution and reasonable sidelobe suppression is presented, which uses only about 1% of the number of measurement positions in a full synthetic array of the same size (i.e., an array with periodically distributed measurement positions, satisfying some Nyquist condition). This implies an enormous reduction of measurement time and of the amount of raw data.
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