Synthesis of Maximally Sparse Arrays Using Compressive Sensing and Full-Wave Analysis for Global Earth Coverage Applications
Synthesis of Maximally Sparse Arrays Using Compressive Sensing and Full-Wave Analysis for Global Earth Coverage Applications
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DOI：
10.1109/tap.2016.2594840
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发表时间：
2016-07
影响因子：
5.7
通讯作者：
C. Bencivenni;M. Ivashina;R. Maaskant;J. Wettergren
中科院分区：
文献类型：
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作者：
C. Bencivenni;M. Ivashina;R. Maaskant;J. Wettergren
全局优化方法可以用来设计非周期阵列天线，准确地考虑其电磁（EM）行为和复杂的性能指标。然而，它们的计算成本很高，因此仅限于小型到中型阵列问题。另一方面，分析方法不受这个问题的困扰，但是通常假设理想化的天线元件和完全可调节的激励控制，从而排除了由例如，通过互耦（MC）和量化移相器。我们提出了一种快速的设计方法，大型最大稀疏阵列，能够处理上述限制。它是基于先前公布的组合EM压缩传感方法，在此已被概括为多波束优化，并且我们还利用阵列对称性，以降低设计复杂性。结果得到了一个圆形阵列（100λ直径）的喇叭天线在多波束SATCOM的情况下工作，并表明，即使是弱MC效应和小相位量化是非常重要的，当要求非常苛刻的旁瓣和交叉极化水平。
Global optimization methods can be employed to design aperiodic array antennas that accurately account for their electromagnetic (EM) behavior and complex performance specifications. However, they are computationally expensive and, therefore, limited to small to midsized array problems. On the other hand, analytical methods do not suffer from this problem, but often assume idealized antenna elements and fully adjustable excitation controls, thereby excluding beam degradation effects caused, e.g., by mutual coupling (MC) and quantized phase shifters. We present a fast design method for large maximally sparse arrays that is capable of handling the aforementioned limitations. It is based on the previously published combined EM-Compressive Sensing approach, which has been herein generalized for multibeam optimization, and where we also exploit array symmetry in order to reduce the design complexity. Results are obtained for a circular array (100λ diameter) of horn antennas operating in a multibeam SATCOM scenario, and demonstrate that even weak MC effects and small phase quantization are important when very demanding sidelobe and cross-polarization levels are required.