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High-Resolution Imaging Based on Temporal-Spatial Stochastic Radiation Field and Compressive Sensing Theory

机译:基于颞空间随机辐射场和压缩感应理论的高分辨率成像

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In microwave staring imaging, spatial-resolution of real aperture imaging is limited by actual antenna array aperture. In order to achieve high-resolution imaging of targets with sparse feature, this paper proposes a high-resolution imaging method based on temporal-spatial stochastic radiation field combining compressive sensing (CS) theory. Firstly, the formation and property of temporal-spatial stochastic radiation field are discussed. Then, signal model based on random radiation field is deduced in detail, and on this basis, high-resolution imaging method based on CS is discussed. The proposed method can distinguish targets within the beam coverage and higher quality image is achieved. Finally, numerical simulations and experiments in microwave chamber are performed to validate the method and its analysis.
机译:在微波凝视成像中,实际孔径成像的空间分辨率受到实际天线阵列孔的限制。为了实现具有稀疏特征的靶的高分辨率成像,本文提出了一种基于颞空间随机辐射场的高分辨率成像方法,组合压缩感测(CS)理论。首先,讨论了时间空间随机辐射场的形成和特性。然后,基于随机辐射场的信号模型详细推举,在此基础上,讨论了基于CS的高分辨率成像方法。所提出的方法可以区分光束覆盖范围内的目标,并且实现更高的质量图像。最后,进行数值模拟和微波室中的实验以验证方法及其分析。

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