Array design and phase interferometer-based DOA estimation for diversely polarized antenna arrays

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Measurement Pub Date : 2024-11-15 DOI:10.1016/j.measurement.2024.116222

Mingchao Qu , Weijian Si , Ruizhi Liu

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Abstract

Rapidly acquiring the unambiguous Direction of Arrival (DOA) and polarization parameters of electromagnetic waves is a significant challenge in passive direction-finding systems. To this end, the array design method and unambiguous phase interferometer-based DOA estimation method for diversely polarized antenna arrays are proposed in this paper. First, the design of antenna polarization utilizes the polarization distance and the volume of a hyper-parallel polyhedron spanned by the receiving antenna polarization orientations. Then, the array element positions are designed according to the rule of the maximum admissible phase error and DOA estimation accuracy. Subsequently, we leverage the received signal power from different antennas to resolve ambiguities and improve robustness in low SNRs. Finally, Numerical simulations indicate that the proposed method has an unambiguous probability of more than 98 % at 0 dB in the frequency range from 0.8 GHz to 18 GHz. Practical experiments further validate the effectiveness of the proposed methods.

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不同极化天线阵列的阵列设计和基于相位干涉仪的 DOA 估计

在无源测向系统中，快速获取明确的电磁波到达方向（DOA）和极化参数是一项重大挑战。为此，本文提出了多样化极化天线阵列的阵列设计方法和基于相位干涉仪的无差别 DOA 估计方法。首先，天线极化设计利用了极化距离和接收天线极化方向所跨的超平行多面体的体积。然后，根据最大允许相位误差和 DOA 估计精度规则设计阵元位置。随后，我们利用不同天线的接收信号功率来解决模糊问题，并提高低信噪比时的鲁棒性。最后，数值模拟表明，在 0 dB 的频率范围（0.8 GHz 至 18 GHz）内，建议的方法具有超过 98 % 的无歧义概率。实际实验进一步验证了所提方法的有效性。

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.