Robust sparse antenna array design via compressive sensing

M. Hawes, W. Liu
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引用次数: 30

Abstract

In sparse arrays, the randomness of antenna locations avoids the introduction of grating lobes, while allowing adjacent antenna spacings to be greater than half a wavelength. This means a larger array size can be implemented using a relatively small number of antennas. However, careful consideration has to be given to antenna locations to ensure that an acceptable performance level is achieved.Model perturbations can also cause steering vector errors, which in turn cause discrepancies in the array's response and this makes a robust array desirable. This paper presents a design method for robust sparse antenna arrays based on an extension of compressive sensing. An extra constraint is applied to the process to ensure that the change in response due to a norm-bounded steering vector error is kept below an acceptable level. Design examples are presented to validate the effectiveness of the method.
基于压缩感知的鲁棒稀疏天线阵列设计
在稀疏阵列中,天线位置的随机性避免了光栅瓣的引入,同时允许相邻天线间距大于半个波长。这意味着可以使用相对较少的天线来实现更大的阵列尺寸。但是,必须仔细考虑天线的位置,以确保达到可接受的性能水平。模型扰动也会导致转向矢量误差,这反过来又会导致阵列响应的差异,这使得需要一个鲁棒阵列。提出了一种基于压缩感知扩展的鲁棒稀疏天线阵列设计方法。一个额外的约束被应用到过程中,以确保由于规范有界的转向矢量误差引起的响应变化保持在可接受的水平以下。设计实例验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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