基于贝叶斯压缩感知的稀疏近场聚焦天线阵列合成

Z. Huang, Y. Cheng
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引用次数: 1

摘要

本文首次建立了近场稀疏阵列天线综合的数学模型。采用一种基于多任务压缩感知的算法来获得拟合所需近场辐射图的单元位置和激励系数。数值结果验证了该方法合成不同类型期望图案的有效性,与均匀间隔阵列相比节省了30%以上的单元。
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Synthesis of Sparse Near-Field Focusing Antenna Arrays Based on Bayesian Compressive Sensing
A mathematical model for near-field sparse array antennas synthesis is established in this work for the first time. An algorithm based on the multi-task compressive sensing method is employed to obtain the element position and excitation coefficient fitting a desired near-field radiation pattern. Numerical results validate the effectiveness of the proposed method to synthesize different types of desired patterns with more than 30% of elements saved compared with uniformly spaced array.
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