Uniformly redundant arrays
Uniformly redundant arrays
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均匀冗余数组
DOI：
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发表时间：
1977
期刊：
影响因子：
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通讯作者：
T. M. Cannon
中科院分区：
文献类型：
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作者：
E. Fenimore;T. M. Cannon
当使用相关分析时，编码孔径成像的最新发展消除了对重建图像质量的基本限制。孔径的孔图案被设计成具有完全平坦的自相关性。该模式被称为均匀冗余阵列（URA），并结合了随机阵列和菲涅耳波带片的高透射特性与非冗余针孔阵列的平旁瓣优势。开发了一种分析程序（平衡相关），当与URA相结合时，给出了一个系统点扩散函数，该函数恰好是一个δ函数。计算机模拟被用来证明，与随机阵列，平衡的相关性是能够提高重建图像的数量级。如果使用URA模式，可能会有更多数量级的改进。六位数。
A recent development in coded aperture imaging removed the basic limitation on the quality of the reconstructed images when a correlation analysis is used. A pattern of holes for the aperture was designed that has an autocorrelation that is perfectly flat. The pattern is referred to as a uniformly redundant array (URA) and combines the high-transmission characteristics of the random arrays and Fresnel zone plate with the flat sidelobe advantage of the nonredundant pinhole array. An analysis procedure was developed (balanced correlation) that, when combined with the URA, gives a system point-spread function which is exactly a delta function. Computer simulations were used to demonstrate that, with random arrays, the balanced correlation is able to improve the reconstructed images by orders of magnitude. Additional orders of magnitude improvement are possible if the URA pattern is used. 6 figures.