用于太阳无线电成像的新型二维低冗余阵列设计

Weidan Zhang, Bing Wang, Zhao Wu, Guang Lu, Yao Chen, Fa-bao Yan
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引用次数: 0

摘要

射电日像仪是一个庞大的天线阵列,利用孔径合成原理产生太阳图像。望远镜获得的图像是将太阳的真实亮度分布与天线阵列的方向性模式相合成的结果。射电日像仪的成像质量受到多种因素的影响,"脏光束 "的性能只是其中一个因素。成像方法、校准技术、清洁算法等其他因素也会对成像质量产生重要影响。由于天线阵列的布局直接影响脏波束的性能,因此设计合适的天线配置对于提高射电日像仪的成像质量至关重要。根据观测太阳的实际需要,这项工作优化了天线阵列设计,提出了一种二维低冗余阵列。将所提出的阵列与常见的 T 形阵列、Y 形阵列、均匀间隔圆形阵列和三臂螺旋阵列进行了比较。通过模拟和实验,比较和分析了它们在采样点数、紫外覆盖面积、波束半宽、边幅水平以及无天线情况下的性能。结果发现,这些阵列各有优势,但本文提出的二维低冗余阵列在总体评价中表现最佳。在所有阵列类型中,它的成像计算时间最短,而且在天线缺失时具有很强的鲁棒性,因此是最合适的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Two-dimensional Low-redundancy Array Design for Solar Radio Imaging
The radioheliograph is an extensive array of antennas operating on the principle of aperture synthesis to produce images of the Sun. The image acquired by the telescope results from convoluting the Sun’s true brightness distribution with the antenna array’s directional pattern. The imaging quality of the radioheliograph is affected by a multitude of factors, with the performance of the ” dirty beam” being just one component. Other factors such as imaging methods, calibration techniques, clean algorithms, and more also play a significant influence on the resulting image quality. As the layout of the antenna array directly affects the performance of the dirty beam, the design of an appropriate antenna configuration is critical to improving the imaging quality of the radioheliograph. Based on the actual needs of observing the Sun, this work optimized the antenna array design and proposed a two-dimensional low-redundancy array. The proposed array was compared with common T shaped arrays, Y-shaped arrays, uniformly spaced circular arrays, and three-arm spiral arrays. Through simulations and experiments, their performance in terms of sampling point numbers, UV coverage area, beam-half width, sidelobe level, and performance in the absence of antennas are compared and analyzed. It was found that each of these arrays has its advantages, but the two-dimensional low-redundancy array proposed in this paper performs best in overall evaluation. It has the shortest imaging calculation time among the array types and is highly robust when antennas are missing, making it the most suitable choice.
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