Single-cut Far-Field Antenna Radiation Pattern Reconstruction Accuracy Analysis in Compact Anechoic Chamber Setup

IF 0.6 4区 计算机科学 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Applied Computational Electromagnetics Society Journal Pub Date : 2021-01-01 DOI:10.47037/2021.aces.j.360914
O. K. Jensen, Yilin Ji, Fengchun Zhang, W. Fan
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Abstract

─ In production testing, it is of importance to measure the key radiation parameters of an antenna under test (AUT), e.g., main beam peak and direction, sidelobes, and null depth and direction in a cost-effective setup with a short measurement time. As a result, practical measurement setups are often compact and equipped with only a few probes (or probe locations). However, these system limitations would introduce errors for antenna testing. This problem has become even more pronounced for 5G radios due to utilization of large-scale antenna configurations and high frequency bands. Spherical near-field measurements are nowadays an accurate and mature technique for characterizing AUTs, which however, necessitates a full spherical acquisition, leading to a long measurement time. Singlecut near-to-far-field transformation is a promising strategy since most of the key AUT parameters are available in the single-cut pattern and it requires much reduced measurement time. In this work, a simple and flexible scheme is proposed to evaluate errors introduced by limitations in practical setups for single-cut far-field (FF) antenna radiation pattern reconstruction, where the near-field data can be easily generated and modified according to the limitations introduced in practical multi-probe anechoic chamber setups, e.g., measurement distance, truncation range, and sampling interval. The reconstructed FF pattern is obtained using a commercial near-field to far-field transformation tool, SNIFT. The proposed scheme is numerically validated via comparing the reference FF pattern of a 4 × 8 uniform planar array composed of ideal Hertzian dipoles and reconstructed FF pattern. With the proposed scheme, the impact of practical system limitations on single-cut reconstruction accuracy can be easily analyzed. Index Terms ─ Antenna pattern measurement, nearfield far-field transformation, near field measurement, over-the-air testing, and single-cut antenna pattern.
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紧凑型消声室单切口远场天线辐射方向图重建精度分析
在生产测试中,测量被测天线(AUT)的关键辐射参数,如主波束峰值和方向、副瓣、零深度和方向,在一个经济有效的设置和短的测量时间是很重要的。因此,实际的测量装置通常很紧凑,只配备了几个探头(或探头位置)。然而,这些系统限制会给天线测试带来误差。由于利用大规模天线配置和高频段,5G无线电的这个问题变得更加明显。球面近场测量是目前表征aut的一种准确而成熟的技术,但它需要全球面采集,导致测量时间长。单切割近场到远场转换是一种很有前途的策略,因为大多数关键的AUT参数都可以在单切割模式中获得,并且需要大大减少测量时间。在这项工作中,提出了一种简单而灵活的方案来评估单切远场(FF)天线辐射方向图重建的实际设置限制所带来的误差,其中近场数据可以很容易地根据实际多探头暗室设置的限制(例如测量距离,截断范围和采样间隔)进行生成和修改。利用商业近场到远场转换工具SNIFT获得重建的FF方向图。通过比较理想赫兹偶极子组成的4 × 8均匀平面阵列的参考FF图和重构FF图,数值验证了该方案。利用该方案,可以很容易地分析实际系统限制对单切口重建精度的影响。索引术语─天线方向图测量、近场远场变换、近场测量、空中测试、单切口天线方向图。
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来源期刊
CiteScore
1.60
自引率
28.60%
发文量
75
审稿时长
9 months
期刊介绍: The ACES Journal is devoted to the exchange of information in computational electromagnetics, to the advancement of the state of the art, and to the promotion of related technical activities. A primary objective of the information exchange is the elimination of the need to "re-invent the wheel" to solve a previously solved computational problem in electrical engineering, physics, or related fields of study. The ACES Journal welcomes original, previously unpublished papers, relating to applied computational electromagnetics. All papers are refereed. A unique feature of ACES Journal is the publication of unsuccessful efforts in applied computational electromagnetics. Publication of such material provides a means to discuss problem areas in electromagnetic modeling. Manuscripts representing an unsuccessful application or negative result in computational electromagnetics is considered for publication only if a reasonable expectation of success (and a reasonable effort) are reflected. The technical activities promoted by this publication include code validation, performance analysis, and input/output standardization; code or technique optimization and error minimization; innovations in solution technique or in data input/output; identification of new applications for electromagnetics modeling codes and techniques; integration of computational electromagnetics techniques with new computer architectures; and correlation of computational parameters with physical mechanisms.
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