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机器学习辅助的加载透镜腔响应优化，用于改进到达方向估计。

Machine learning-assisted lens-loaded cavity response optimization for improved direction-of-arrival estimation.

作者信息

Abbasi Muhammad Ali Babar, Akinsolu Mobayode O, Liu Bo, Yurduseven Okan, Fusco Vincent F, Imran Muhammad Ali

机构信息

Institute of Electronics, Communications and Information Technology (ECIT), Queen's University Belfast, Belfast, UK.

Faculty of Arts, Science and Technology, Wrexham Glyndŵr University, Wrexham, LL11 2AW, UK.

出版信息

Sci Rep. 2022 May 20;12(1):8511. doi: 10.1038/s41598-022-12011-z.

DOI:10.1038/s41598-022-12011-z
PMID:35595805
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9122914/
Abstract

This paper presents a millimeter-wave direction of arrival estimation (DoA) technique powered by dynamic aperture optimization. The frequency-diverse medium in this work is a lens-loaded oversized mmWave cavity that hosts quasi-random wave-chaotic radiation modes. The presence of the lens is shown to confine the radiation within the field of view and improve the gain of each radiation mode; hence, enhancing the accuracy of the DoA estimation. It is also shown, for the first time, that a lens loaded-cavity can be transformed into a lens-loaded dynamic aperture by introducing a mechanically controlled mode-mixing mechanism inside the cavity. This work also proposes a way of optimizing this lens-loaded dynamic aperture by exploiting the mode mixing mechanism governed by a machine learning-assisted evolutionary algorithm. The concept is verified by a series of extensive simulations of the dynamic aperture states obtained via the machine learning-assisted evolutionary optimization technique. The simulation results show a 25[Formula: see text] improvement in the conditioning for the DoA estimation using the proposed technique.

摘要

本文提出了一种由动态孔径优化驱动的毫米波到达方向估计（DoA）技术。本工作中的频率分集介质是一个加载透镜的超大毫米波腔，其中存在准随机波混沌辐射模式。结果表明，透镜的存在将辐射限制在视场内，并提高了每个辐射模式的增益；因此，提高了DoA估计的准确性。首次表明，通过在腔内引入机械控制的模式混合机制，可以将加载透镜的腔转变为加载透镜的动态孔径。这项工作还提出了一种利用由机器学习辅助进化算法控制的模式混合机制来优化这种加载透镜的动态孔径的方法。通过对通过机器学习辅助进化优化技术获得的动态孔径状态进行一系列广泛的模拟，验证了这一概念。仿真结果表明，使用所提出的技术，DoA估计的条件数提高了25[公式：见正文]。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9122914/076ab0c0b8a0/41598_2022_12011_Fig10_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9122914/0538ebba6fcb/41598_2022_12011_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9122914/076ab0c0b8a0/41598_2022_12011_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9122914/0de373057258/41598_2022_12011_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9122914/a077f5e14a94/41598_2022_12011_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9122914/16e429b448b2/41598_2022_12011_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9122914/c5ac92d03426/41598_2022_12011_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9122914/df1622be26b3/41598_2022_12011_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9122914/501f20692ec9/41598_2022_12011_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9122914/00899fcc4066/41598_2022_12011_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9122914/bdd0f5e9d0e2/41598_2022_12011_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9122914/0538ebba6fcb/41598_2022_12011_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9122914/076ab0c0b8a0/41598_2022_12011_Fig10_HTML.jpg

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